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This listing is based on EasyChair and OpenReview data extracted at the time the acceptance notifications were sent out. If you see errors in spelling or capitalization and so on, make sure that you correct them when you are completing the ACM Rights Review Form via the link you will have received.

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Note that we will not be applying name/title corrections requested through the ACM Rights Review process to this preliminary acceptance listing. This page is a static snapshot of the paper titles and authors names used to initiate the ACM Rights Review process, and will not get edited further. A detailed program with corrected title and author names will be prepared once all camera-ready versions have been received by the ACM and approved, and once the papers have been assigned to sessions.

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Legend

[fp] Full research papers (234 accepted)
[pr] Perspective papers (12 accepted)
[rp] Reproducibility papers (28 accepted)
[rr] Resource papers (61 accepted)
[sp] Short research papers (151 accepted)
[de] Demo short papers (24 accepted)
[ip] Industry papers (131 accepted)
[lre] Low Resource Environment papers (15 accepted)
[dc] Doctoral Colloquium papers (12 accepted)

A total of 656 papers will be presented during the three main conference days.

Plus, don't forget about the workshops that will take place on the Friday, see https://sigir2026.org/en-AU/pages/program/accepted-workshops; and the ICTIR conference that will take place on the Saturday, see https://sigir-ictir.github.io/ictir2026/.

Full Papers

[fp] Unsupervised 2D Image-Based 3D Model Retrieval via Decision Boundary Alignment and Graph Semantic Propagation
Nian Hu, Yibo Zhao, Xinhui Li, Chen Li, Cong Liu, Zan Gao

[fp] Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
Jingzhi Li, Zhiyong Cheng, Richang Hong, Meng Wang

[fp] A Comparative Study of Users' Information-Seeking Practices Across Search Engines and Generative AI Chatbots
Elsa Lichtenegger, Aleksandra Urman, Ancsa Hannak

[fp] Understanding and Modeling Heterogeneous Search Behavior
Nuha Abu Onq, Chenglong Ma, Mark Sanderson, Falk Scholer

[fp] Revisiting Collaborative Filtering by Unleashing the Power of Similarity
Mingyang Li, Xinlang Yue, Chen Chen, Muyang Li, Yongqi Liu, Kaiqiao Zhan

[fp] FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
WooJoo Kim, Junyoung Kim, Jaehyung Lim, Seong Jin Choi, SeongKu Kang, Hwanjo Yu

[fp] R$^3$Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning in Complex Claim Verification
Peng Qi, Yuyang Zhao, Wynne Hsu, Mong-Li Lee

[fp] Verifiable Reasoning for LLM-based Generative Recommendation
Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang

[fp] Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
Amir Reza Mohammadi, Andreas Peintner, Michael M. Müller, Eva Zangerle

[fp] Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation
Cheng Li, Xu Yong, Suhua Tang, Xin He, Jianfeng Sun, Jinde Cao

[fp] Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation
Youheng Bai, Jiaqi Zheng, Mingliang Hou, Teng Guo, Mi Tian, Xiangyu Zhao, Zitao Liu, Weiqi Luo

[fp] Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
Ruijun Chen, Chongming Gao, Jiawei Chen, Weiqin Yang, Xiangnan He

[fp] Dual-Diffusional Generative Fashion Recommendation
Mingzhe Yu, Lei Wu, Qianru Sun, Yunshan Ma

[fp] Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation
Bokai Lin, Naijun Gao, Yucen Gao, Heng Chang, Cheng Hu, Zhinan Zhang, Xiaofeng Gao

[fp] Struct-Align: Zero-Shot Text-to-3D Scene Retrieval via Locality-Aware Structural Alignment
Xiong Li, Yikang Yan, Zhenyu Wen, Jie Su, Qi Chen, Zhen Hong

[fp] Mitigating Evidence Suppression: Bi-level Active Injection for Educational Video Understanding
Cheng liu, Yiping Wang, Quanlong Guan, Chaobo He, Zhu Xingyu, Liangda Fang

[fp] Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
Yuan Li, Jun Hu, Jiaxin Jiang, Bryan Hooi, Bingsheng He

[fp] SNBot: Modeling Self-Neighborhood Representation Discrepancy for Social Bot Detection
Qilong Lin, Jingya Zhou

[fp] ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
Derong Xu, Yanxin Chen, Wanyu Wang, Pengyue Jia, Chao Zhang, Maolin Wang, Yiqi Wang, Jipeng Qiang, Xuetao Wei, Hongzhi Yin, Tong Xu, Xiangyu Zhao

[fp] Cognitive Style Shapes Search Behaviours: An fNIRS Study of Exploratory Search
Huimin Tang, Boon Giin Lee, Dave Towey, Max L. Wilson, Matthew Pike

[fp] CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Entity Matching
Shiqi Zhang, Weixin Zeng, Ziheng Zhang, Wenzhe Hou, Weidong Xiao, Xiang Zhao

[fp] Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
Jiahao Zhang, Shaofei Huang, Yaxiong Wang, Zhedong Zheng

[fp] Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for Multimodal Recommendation
Yue He, Hongbo Chen, Jingxi Xie, Fengling Li, Jingjing Li

[fp] Spectral-Adaptive Adversarial Hashing for Robust Image Retrieval
Gang Zhou, Shibiao Xu, Xiaolong Zheng, Daniel Dajun Zeng

[fp] Looking for the Bottleneck in Fine-grained Temporal Relation Classification
Hugo Sousa, Ricardo Campos, Alipio Jorge

[fp] NeurPIU: Neurobiologically Inspired Personalized Intent Understanding in Large Language Models
Zenghua Liao, Jinzhi Liao, Xiang Zhao

[fp] One-for-All Community Search on Unseen Graphs
Mo Li, Zhaosong Zhao, Linlin Ding, Renata Borovica-Gajic, Zhongming Yao, Jianxin Li

[fp] Corpus-Centric Learning for Zero-Shot Table Retrieval
Zhou He, Zhifei Pang, Xiu Tang, Sai Wu, Gang Chen

[fp] Generative Bid Shading in Real-Time Bidding Advertising
Yinqiu Huang, Hao Ma, Wenshuai Chen, Zongwei Wang, Shuli Wang, Yongqiang Zhang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang

[fp] Decision-Theoretic Stopping Rules for Document Screening
Aaron Fletcher, Mark Stevenson

[fp] Unified Entity Matching under Scarce Supervision via Meta-Rule Induction and Retrieval
Ziheng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao

[fp] TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
Wei Yang, Rui Zhong, Zihan Lin, Xiaodan Wang, Cheng Chen, Huan Ren, Yao Hu

[fp] Attention Grounded Enhancement for Visual Document Retrieval
Wanqing Cui, Wei Huang, Yazhi Guo, Yibo Hu, Meiguang Jin, Junfeng Ma, Keping Bi

[fp] Discrete Preference Learning for Personalized Multimodal Generation
Yuting Zhang, Ying Sun, Dazhong Shen, Ziwei Xie, Feng Liu, Changwang Zhang, Xiang Liu, Jun Wang, Hui Xiong

[fp] Bridging LLM Embeddings and VAE Parameters for Disentangled Recommendation
Nhu-Thuat Tran, Hady W. Lauw

[fp] Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Jianheng Tang, Wei Wang, Xiping Hu, Edith C. H. Ngai

[fp] ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
Hao Yang, Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zulong Chen, Shuo Wang, Yu Gu, Ge Yu

[fp] ACE: Semantically-Grounded Graph Alignment via Affective Contrastive Learning
Potito Aghilar, Sabino Roccotelli, Vito Walter Anelli, Alejandro Bellogin, Michelantonio Trizio, Tommaso Di Noia

[fp] Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collaborative Filtering
Jie Yang, Ling Luo, Nestor Cabello, Lars Kulik

[fp] Factorized Latent Reasoning for LLM-based Recommendation
Tianqi Gao, Chengkai Huang, Zihan Wang, Cao Liu, Ke Zeng, Lina Yao

[fp] Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Ruichen Yao, Yang Zhang, Dong Wang

[fp] Cohesive Group Discovery in Interaction Graphs under Explicit Density Constraints
Yu Zhang, Yilong Luo, Mingyuan Ma, Yao Chen, Enqiang Zhu, Jin Xu, Chanjuan Liu

[fp] GNN-based Anchor Embedding for Efficient Subgraph Retrieval
Bin Yang, Jianxiong Ye, Zhaonian Zou

[fp] Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach
Yuan Wang, Zhiyu Li, Ang Gao, Changshuo Zhang, Xiao Zhang, Jun Xu, Quan Lin

[fp] Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels
Yan Lyu, Tianyu Xia, Xiang Li, Xiangnan Feng, Chunyuan Zheng, Haoxuan Li, Xiao-Hua Zhou

[fp] FACE: A Fine-Grained Reference-Free Evaluator for Conversational Information Access
Hideaki Joko, Faegheh Hasibi

[fp] How Far Are We from Automatically Identifying Violations of the Data Minimization Principle in Privacy Policies?
Ziyan Zhou, Yanru He, Yunchuan Guo, Haoyang Yu, Liang Fang, Fenghua Li

[fp] MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retrieval
Wenchun Jing, Haiyang Shen, Haoran Wang, Qi Liu, Ningyuan Li, Chaoran Luo, Ning Zhang, Yun Ma

[fp] MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking
Peng Jie, Yongxue Shan, Yongfu Zha, Xiaodong Wang

[fp] Graph Diffusion Gated Embeddings for Recommender Systems
SeungCheol Lee, Taeyoung Roh, Jiho Seo, SooHyun Lim

[fp] OntoEL: Neuro-Symbolic Biomedical Entity Linking with Differentiable Fuzzy $\mathcal{EL}_{\bot}$ Reasoning
Chang Lu, Yizheng Zhao

[fp] Distribution-aware Re-representations for Multi-Scenario Recommendations
Qi Sun, Yulin Xu, Zelin Wang, Xiaoyu Kang, Keyan Jin, Jiechao Gao

[fp] Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Recommendation
Yao Wu, Chengyi LIU, Wenqi Fan, Rui Zhang

[fp] When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation
feng xia, Shuo Zhang, Xi Wang

[fp] Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
Jiajie Jin, Yanzhao Zhang, Mingxin Li, Dingkun Long, Pengjun Xie, Yutao Zhu, Zhicheng Dou

[fp] Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Yishan Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Ge Yu, Maosong Sun

[fp] From Tokens to Concepts: Leveraging SAE for SPLADE
Yuxuan ZONG, Mathias Vast, Basile Van Cooten, Laure Soulier, Benjamin Piwowarski

[fp] Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
Peiyang Liu, Ziqiang Cui, Xi Wang, Di Liang, Wei Ye

[fp] Learning to Rank with Multi-Criteria LLM-Judge Annotations
Naghmeh Farzi, Laura Dietz

[fp] RegionSLM: Region-aware Question Answering on Document Screenshots
Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang

[fp] Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Fei Liu, Richang Hong

[fp] MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
Tongyoung Kim, SooJin Yoon, SeongKu Kang, Jinyoung Yeo, Dongha Lee

[fp] Hierarchical Embedding Fusion for Retrieval-Augmented Code Generation
Nikita Sorokin, Ivan Sedykh, Valentin Malykh

[fp] Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
Valentin Knappich, Anna Hätty, Simon Razniewski, Annemarie Friedrich

[fp] Retrieval-Augmented Multimodal Model for Fake News Detection
Yiheng Li, Weihai Lu, Hanyi Yu, Yue Wang

[fp] Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu

[fp] Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
Yifan Song, Fenglin Yu, Yihong Luo, Xingjian Tao, Siya Qiu, Kai Han, Jing Tang

[fp] Do Simulated Users Need to Remember? Analyzing the Impact of Memory Models in Conversational Search Evaluation
Nailia Mirzakhmedova, Marcel Gohsen, Johannes Kiesel, Matthias Hagen, Benno Stein

[fp] Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibration and Personalized Preview Nudges
Ruixuan Sun, Matthew Zent, Minzhu Zhao, Xinyi Li, Thanmayee Boyapati, Joe Konstan

[fp] An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias
Oscar Rolando Ramirez Milian, Harrie Oosterhuis

[fp] Depression Detection from Social Media: A Mutual Guidance Multi-modal Network with Complementary Graph Learning
Guocheng Hu, Chaoqun Zheng, Ruifan Zuo, Fengling Li, Dan Shi, Xiaofeng Qu, Wenpeng Lu

[fp] Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection
Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu

[fp] Selective Constraint Learning for Unsupervised Cross-Domain Image Retrieval
Wensi Fang, Xiaodan Zhang, Xiaoyu Lian, Qiang Li, Shuai Lü

[fp] Agentic Spatio-Temporal Grounding via Collaborative Reasoning
Heng zhao, Joey Tianyi Zhou, Yew-Soon Ong

[fp] Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
Yuanzi Li, Lingjie Wang, Jingyu Zhao, Zihang Tian, Yuhan Wang, Lei Wang, Xu Chen

[fp] RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
Cong Wang, Jin Li, Shoujin Wang, Yishuo Li, Huilin Gu, Wenpeng Lu

[fp] CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation
Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri

[fp] From Interference to Stability: Adversarial Reliability Correction for Video Moment Retrieval with Relevance Feedback
Hao Liu, Yupeng Hu, Kun Wang, Junchao Wang, Ruping Cao, Yutao Yao, Zilu Cai

[fp] OPS: An Order-Preserving Sorting Network for Information Retrieval
Chao Wang, Yongxiang Tang, Guikai Luan, Kaiyuan Li, Yanhua Cheng, Xialong Liu, Shu Wu, Peng Jiang

[fp] Multi-Vector Index Compression in Any Modality
Hanxiang Qin, Alexander Martin, Rohan Jha, Chunsheng Zuo, Reno Kriz, Benjamin Van Durme

[fp] Verbalizing LightGCN: Direct Learning of Textual Representations from User-Item Interaction Graph via LLMs
Manh Khanh Huu Ngo, Hady W. Lauw

[fp] Formalized Information Needs Improve Large-Language-Model Relevance Judgments
Jüri Keller, Maik Fröbe, Björn Engelmann, Fabian Haak, Timo Breuer, Birger Larsen, Philipp Schaer

[fp] Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li

[fp] DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
Xinchi Zou, Tongzhenzhi Su, Jianjun Li, Yuan Fu, Chang Liu, Zhiying Deng, Zhiwei Shen

[fp] An Eye Tracking Study: Are AI Overviews Changing Search Behavior?
Sara Allawati, Dana McKay, Mark Sanderson, Paul Thomas, Johanne Trippas

[fp] ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
Yi Zhang, Yiwen Zhang, Kai Zheng, Tong Chen, Hongzhi Yin

[fp] DIAURec: Dual-Intent Space Representation Optimization for Recommendation
Yu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang

[fp] Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
Yuwen Liu, Lianyong Qi, Xucheng Zhou, Xingyuan Mao, Weiming Liu, Shuang Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wanchun Dou

[fp] From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
Ziang Lu, Lei Sang, Lin Mu, Yiwen Zhang

[fp] NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large Language Models
Chao Jiang, Jinzhi Liao, Xiang Zhao

[fp] GNN-based Item Indexing for LLM-enhanced Recommendation
Mao Senlin, Ji Zhang, Peng Zhang, Ze Wang, Xiaoyao Zheng, Jia Wang

[fp] BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang

[fp] Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
Zhiying Deng, Yuan Fu, Usman Farooq, Ziwei Tian, Wei Liu, Jianjun Li

[fp] Aspect-Aware Content-Based Recommendations for Mathematical Research Papers
Ankit Satpute, Andre Greiner-Petter, Noah Gießing, Olaf Teschke, Moritz Schubotz, Akiko Aizawa, Bela Gipp

[fp] Towards Knowledgeable Deep Research: Framework and Benchmark
Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng

[fp] SSR: Structured Subgraph Retrieval for Temporal Knowledge Graph Question Answering with LLMs
Ying Zhang, Li Zhang, Wenya Guo, Shilong Ping, Xinying Qian

[fp] CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation
Yibiao Wei, Jie Zou, Pengfei Zhang, Xiao Ao, Weikang Guo, Zeyu Ma, Yang Yang

[fp] Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Jingxuan Yang, Haolang Lu, Jun Xu

[fp] Debiased Multimodal Personality Understanding through Dual Causal Intervention
Yangfu Zhu, Zitong han, Nianwen Ning, Yuting Wei, Yuandong Wang, Feng Hang, Zhenzhou Shao

[fp] The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke

[fp] Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
Yuchuan Zhao, Tong Chen, Junliang Yu, Zongwei Wang, Lizhen Cui, Hongzhi Yin

[fp] Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality
Jiahan Chen, Da Li, Hengran Zhang, yinqiong cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi

[fp] ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval
Hyewon Choi, Jooyoung Choi, Hansol Jang, Hyun Kim, Chulmin Yun, ChangWook Jun, Stanley Jungkyu Choi

[fp] FollowTable: A Benchmark for Instruction-Following Table Retrieval
Rihui Jin, Yuchen Lu, Ting Zhang, Jun Wang, Kuicai Dong, Zhaocheng Du, Dongping Liu, Gang Wang, Yong Liu, Guilin Qi

[fp] Differentiable Semantic ID for Generative Recommendation
Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, Zhaochun Ren

[fp] Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
Yiteng Tu, Weihang Su, Shuguang Han, Yiqun LIU, Qingyao Ai

[fp] Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
Chenghao Zhang, Guanting Dong, Xinyu Yang, Zhicheng Dou

[fp] ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Detection
Guoxuan Ding, Yuqing Li, Ziyan Zhou, Zheng Lin, Daren Zha, Jiangnan Li

[fp] When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
Venktesh V, Mandeep Rathee, Avishek Anand

[fp] FairSpec: Expert Specialization for Fair LLM-based Recommendation
Yuchen Zheng, Xuan Pan, Jing Wang, Chuanchang Zhang, Xi Lin, Chunyao Song, Xiangrui Cai, Xiaojie Yuan

[fp] PLAID-PRF - Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
Xiao Wang, Sean MacAvaney, Craig MacDonald

[fp] Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
Xinye Wanyan, Chenglong Ma, Danula Hettiachchi, Ziqi Xu, Jeffrey Chan

[fp] StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval
Shaokun Wang, Weili Guan, Jizhou Han, Jianlong Wu, Yupeng Hu, Liqiang Nie

[fp] When Vision Meets Texts in Listwise Reranking
Hongyi Cai

[fp] SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the Edge
Ruikun Luo, Zihan Xing, Lin Gu, Song Wu, Hai Jin, Xiaoyu Xia

[fp] Consensus-Anchored Expansion for Noise-Resilient Re-ranking
Nischal Subedi, Cencheng Shen

[fp] Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
Xiangmeng Wang, Qian Li, Haiyang Xia, Hao Miao, Li Qing, Guandong Xu

[fp] Multi-Perspective Driven Expected Location Preferences for Next POI Recommendations
Pengxiang Lan, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Hai Zhao

[fp] NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models
Haruki Fujimaki, Makoto P. Kato

[fp] AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
Kaike Zhang, Qi Cao, Fei Sun, Liu Xinran, Huawei Shen, Xueqi Cheng

[fp] Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
Sa Zhu, Wanqian Zhang, Lin Wang, Jinchao Zhang, Cong Wang, Bo Li

[fp] SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen

[fp] GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu

[fp] Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
Yimeng Bai, Chang Liu, Yang Zhang, Dingxian Wang, Frank Yang, Andrew Rabinovich, Wenge Rong, Fuli Feng

[fp] DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion
Rahul Mehta, Kavin R V, Indrajit Pal, Tushar Abhishek, Pawan Goyal, Manish Gupta

[fp] From Existence to Exhaustiveness: Unveiling the Compounding Failures of Large Language Models in Multi-answer Event Temporal Reasoning
Shaojuan Wu

[fp] Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests
Jingjie Ning, João Coelho, Yibo Kong, Yunfan Long, Bruno Martins, Joao Magalhaes, Jamie Callan, Chenyan Xiong

[fp] Tokens to Types: Context Editing with Selective Entity Abstraction for Grounded Generation
Rounak Sharma, Debabrata Mahapatra, Shiv Kumar Saini

[fp] Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
Yuchen Yan, Peiyan Zhang, Zhihua Liu, Hao Wang, Yatao Bian, Weiming Li, Xiaoshuai Hao

[fp] FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming

[fp] TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
Liancheng Zhang, Xiaoxi Li, Zhicheng Dou

[fp] Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG
Xihang Wang, Zihan Wang, Chengkai Huang, Cao Liu, Ke Zeng, Quan Z. Sheng, Lina Yao

[fp] Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
Lukas Gienapp, Martin Potthast, Andrew Yates, Harrisen Scells, Eugene Yang

[fp] Hypergraph Diffusion-Based Sequential Ensemble for CTR Prediction
Zeheng Zhong, Hongzhi Liu, Gong Chen, Boyuan Ren, Guomin Qin, Zhonghai Wu

[fp] Debiased Recommendation Beyond the Positive Propensity Assumption
Yanghao Xiao, Hao Wang, Xiang Li, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin

[fp] Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholding for Efficient Retrieval
WENTAI XIE, Parker Carlson, Shanxiu He, Tao Yang

[fp] Logit Inflation in Listwise Ranking Losses: Causes and Mitigation
Riyaz Ahmad Bhat, Jaydeep Sen

[fp] SynDiSC: High-Quality Tabular Data Synthesis with Distributional and Semantic Consistency
Fan Wu, Haoye Pan, Hao Wu, Kai Qian, Shucheng Li, Feng Lyu

[fp] NuggetIndex: Governed Atomic Retrieval for Maintainable RAG
Saber Zerhoudi, Michael Granitzer, Jelena Mitrović

[fp] SmartSearch: Process Reward-Guided Query Refinement for Search Agents
Tongyu Wen, Guanting Dong, Zhicheng Dou

[fp] Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
Yunjia Xi, Menghui Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

[fp] HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Search
Jiajie Jin, Xiaoxi Li, Yuyao Zhang, Guanting Dong, Zhao Yang, Yutao Zhu, Zhicheng Dou

[fp] FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation
jaebeom you, Kisung Lee, Hyuk-Yoon Kwon

[fp] Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
Junting Wang, Chenghuan Guo, Yang Jiao, Yanhui Guo, Yan Gao, Hari Sundaram

[fp] Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning
Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen

[fp] DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents
Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun, Fengqi Zhu, Jingyang Ou, Yuling Shi, Chongxuan Li, Xiao Zhang, Jun Xu

[fp] Universal Item Tokenization for Transferable Generative Recommendation
Bowen Zheng, Hongyu Lu, yu chen, Xin Zhao, Ji-Rong Wen

[fp] Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation
Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu

[fp] LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
Lingyu Mu, Hao Deng, Haibo Xing, Kaican Lin, Zhitong Zhu, Zhengxiao Liu, Zheng Lin, Xiaoyi Zeng, zhang yu, Jinxin Hu

[fp] Learning to Retrieve from Agent Trajectories
Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen

[fp] The Impact of Scaling Embedding Dimension on Retrieval Performance
Julian Killingback, Mahta Rafiee, Manas Madine, Hamed Zamani

[fp] RULER: Robust Unified LLM-based Efficient Retrieval for Legal Information
Chenyu Hou, Ziyang Wang, Bin Cao, JIAXING WANG, Tianming Zhang, Tiantian Li

[fp] Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting
YAQI YANG, Ziqi Xu, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren

[fp] FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
Zhilin Liang, Yuxiang Wang, Zimu Zhou, Hainan Zhang, Boyi Liu, Yongxin Tong

[fp] Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank
Stan Fris, Philipp Hager

[fp] Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selection
Chenxu Cui, Lin Shen, Haihui Fan, Sa Zhu, Feifei Dai, Bo Li

[fp] Towards Conflict-aware Selective Knowledge Unlearning for Continual Few-shot Knowledge Graph Completion
Junlin Zhu, Bo Fu, Guiduo Duan

[fp] Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bridging Vocabulary Gaps
Zhichao Geng, Yang Yang

[fp] Hybrid Pooling with LLMs via Relevance Context Learning
David Otero, Javier Parapar

[fp] Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA
Keyu Zhu, Shuanghong Shen, Xianquan Wang, Kai Zhang, Shijin Wang, Qi Liu, Zhenya Huang

[fp] HCPRA: A Hierarchical Cognition-Perception-Reasoning Agent Framework for Emotion-Cause Pair Extraction in Conversations
Botao Wang, Lianwei Wu, Shuhan Guo, Kang Wang, Qingyan Wang, Zhang Tingran, Jiapeng Liu, Hikmat Ullah Khan

[fp] Recursive Short-to-Long Generalization for Multi-hop Reasoning
Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

[fp] Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
Tianzhe Zhao, Jiaoyan Chen, Shuxiu Zhang, Haiping Zhu, Qika Lin, Jun Liu

[fp] Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Synergized Framework
Yi Xia, Gang Zhou, Jing Chen, Xiaohui Chen, Qinlong Fan, Shunhang Li

[fp] Recasting Web-Scale Query Suggestion as dense retrieval: Efficient, Up-to-Date, and Context-Aware Suggestions
Sosuke Nishikawa, Naoki Yoshinaga, Nobuhiro Kaji

[fp] Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
Peiyang Liu, Qiang Yan, Ziqiang Cui, Di Liang, Xi Wang, Wei Ye

[fp] mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
Xu Yuan, Liang-Bo Ning, Qingqing Ye, Wenqi Fan, Li Qing

[fp] When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
Dongxin Guo, Jikun Wu, SM Yiu

[fp] IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
Jieyong Kim, Maryam Amirizaniani, SooJin Yoon, Dongha Lee

[fp] MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction
Hyeongu Kang, Susik Yoon

[fp] Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces
Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis

[fp] Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation
Xiaocong Chen, Siyu Wang, Lina Yao

[fp] Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
Yantao Yu, Sen Qiao, LEI SHEN, Bing Wang, Xiaoyi Zeng

[fp] Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction
Jing Qi, Yuxiang Wang, Zhiyuan Yu, Xiaoliang Xu, Yuanshi Zheng, Tianxing Wu

[fp] Uncertainty Quantification for Retrieval-Augmented Reasoning
Heydar Soudani, Hamed Zamani, Faegheh Hasibi

[fp] Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Shuzhi Gong, Richard Sinnott, Jianzhong Qi, Cecile Paris, Preslav Nakov, Zhuohan Xie

[fp] SciCheck: Reasoning Distillation for Biomedical Claim Verification
Gabriel Pereira, Luciano Barbosa

[fp] Chunk-Wise Quantization for Graph Collaborative Filtering
Kaixi Hu, Peipei Wang, Kaize Shi, Jingling Yuan, Yu Yang, Guandong Xu, Lin Li

[fp] How Variability Influences Podcast Search: Queries, Transcriptions, and Judges
Watheq Mansour, J. Shane Culpepper, Andrew Yates, Joel Mackenzie

[fp] GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng, Xiangyu Zhao

[fp] Unifying Granularity and Reliability: A Robust and Efficient Framework for Text-based Person Retrieval
Jingchen Hao, Jiang Liu, Zhen Peng, Yuting Zhang, Zhongjiang He, Weizhan Zhang, Hao Sun

[fp] RecPFN: Prior-fitted Networks for In-Context-based Recommendations
En Zhi Tan, Jia Xiang Lim, Bryan Lijie Chew, Tze Minh Ng, Benjamin Yan Han Yap

[fp] Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He, Xiaoxiao Xu, Zixiu Wang, Lantao Hu, Yongqi Liu, Han Li, Kaiqiao Zhan, Kun Gai

[fp] FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation
Ke Shi, Yao Zhang, Feng Guo, Jinyuan Zhang, JunShuo Zhang, Shen Gao, Shuo Shang

[fp] One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
Hongru Cai, Yongqi Li, Tiezheng YU, Fengbin ZHU, Wenjie Wang, Fuli Feng, Wenjie Li

[fp] Coupling Global Context with Kinematic Evolution for Sequential Recommendation
Yueting Yang, Yao Li, Rongmei Zhao, Shenggen Ju

[fp] Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
Junyu Lu, Deyi Ji, Liqun Liu, Xiaokun Zhang, Youlin Wu, Roy Ka-Wei Lee, Peng Shu, Huan Yu, Jie Jiang, Bo Xu, Liang Yang, Hongfei Lin

[fp] Dynamic Memory Forest: Constructing and Tracing Conversational Trajectories for Long-Term Conversation
Cai Ke, Bin Liang, Xin Liu, Yue Yu, Hui Wang, Ruifeng Xu

[fp] Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun

[fp] STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering
Wei Chen, Lili Zhao, Zhi Zheng, huijun hou, Tong Xu

[fp] Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu

[fp] Generative Auto-Bidding with Unified Modeling and Exploration
mingming zhang, Zhuang Feiqing, Na Li, Sheng-jie Sun, Xiaowei Chen, Junxiong Zhu, Fei Xiao, Keping Yang, Lixin Zou, Chenliang Li

[fp] TAR: Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeling
Liang Shi, Longxiang Xu, Zhengju Tang, Yundu Huang, Jian Xu, Zhi Yang

[fp] Demand-Calibrated Facet Diversification with Deployable Soft Quotas for E-Commerce Search
Shenghui Xu, Jiang Yu

[fp] How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen

[fp] Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

[fp] DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Multimodal Recommendation
Xiangyu Sai, Meysam Madadi, Sergio Escalera, Yong Xu

[fp] Incremental Multi-Behavior Recommendation
Jiahao Gong, Weike Pan

[fp] GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-Assisted Calibration
Ranran Bu, Jian Cao, Jianqi Gao, Jinghua Tang, Shiyou Qian, Hongming Cai

[fp] Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
Jaehyun Lee, Sanghwan Jang, SeongKu Kang, Hwanjo Yu

[fp] HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
Yunwen Huang, Shiyong Hong, Xijun Xiao, Jinqiu Jin, Xuanyuan Luo, zhe wang, Zheng Chai, Shikang Wu, Yuchao Zheng, Jingjian Lin

[fp] Learning from Natural Language Feedback for Personalized Question Answering
Alireza Salemi, Hamed Zamani

[fp] Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability
Jia-Huei Ju, Eugene Yang, Trevor Adriaanse, Suzan Verberne, Andrew Yates

[fp] Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
Zhida Qin, Zemu Liu, Haoyan Fu, Chong Zhang, Tianyu Huang, Yidong Li, Gangyi Ding

[fp] A Parametric Memory Head for Continual Generative Retrieval
Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke

[fp] Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu

[fp] MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
Yuzhuo Dang, Xin Zhang, Zhiqiang Pan, Yuxiao Duan, Wanyu Chen, Fei Cai, Honghui Chen

[fp] Adaptive Mix Preference Optimization for Generative Recommendation
Junbo Qi, Yanyan Zou, Xuanhua Yang, Sulong Xu, Ying Sun, Shengjie Li

[fp] Think, But Don't Tell: Implicit Reasoning for LLM-based Sequential Recommendation via Multi-Teacher Distillation
Weihai Lu, Xiaoxi Cui, Chenke Yin

[fp] Set-Based Cross-Domain Recommendation
Kyunglim Kim, James Geraci

[fp] Countering Interest Over-Smoothing: Distilling Latent Factors via Diffusion for Multi-Interest Retrieval
Yankun Le, Fu Zhang, Haoran Li, Baoyuan Ou, Yingjie Qin, Zhixuan Yang, Ruilong Su

[fp] Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation
Guojia An, Jie Zou, Yuhan Yang, Shuai Qin, Weikang Guo, Jinyu Guo, Yang Yang

[fp] Generation-Augmented Video Corpus Moment Retrieval
Mingjin Kuai, Qianyin Xiao, Juncheng Li, Jin Peng, Lizi Liao, Wei Ji

[fp] SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, SeongKu Kang

[fp] Contrastive Flow Matching for Collaborative Filtering
Wangyu Jin, Jiansheng Qian, Wenwen Xia, Hongliang He, Guanfeng Liu, Pengpeng Zhao

[fp] Balanced Frequency Decoupling: Energy-Aware Multi-Scale Preference Modeling for Sequential Recommendation
Jiahao Hu, Wei Zhou, Jie Liao, Junlin Zhu, Junhao Wen, Hongyu Zhang

[fp] Constructing Hard-Positive Query-Document Pairs for Dense Retrieval via Phrase Representativeness
Zhanyu Wu, Richong Zhang, Zhijie Nie

[fp] An Action-Aware Generative Sequence Modeling for Short Video Recommendation
Wenhao Li, Zihan Lin, ZhengXiao Guo, Jie Zhou, Shukai Liu, Yongqi Liu, Chuan Luo

[fp] Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
Patrick Iff, Paul Brügger, Marcin Chrapek, David Kochergin, Maciej Besta, Torsten Hoefler

[fp] A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
Yash Kankanampati, Yuxuan ZONG, Nadi Tomeh, Benjamin Piwowarski, Joseph Le Roux

[fp] Efficient Sparse Retrieval with Lightweight Superblock Pruning
Parker Carlson, WENTAI XIE, Rohil Devang Shah, Tao Yang

[fp] SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs
Bi Xue, Hong Wu, Lei Chen, Chao yang, Yiming Ma, Fei Ding, Zhen Wang, Liang Wang, Xiaoheng Mao, Ke Huang, Xialu Li, Peng Xia, Rui Jian, Yanli Zhao, Yanzun Huang, Yijie Deng, Harry Tran, Ryan Chang, Min Yu, Eric dong, Jiazhou Wang, Qianqian Zhang, Keke Zhai, Hongzhang Yin, Pawel Garbacki, Zheng Fang, Yiyi Pan, Min Ni, Yang Liu

[fp] Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems
Linjiang Guo, Nitin Bisht, Shiqing Wu, Huan Huo, Xianzhi Wang, Guandong Xu

[fp] Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
Runhao Jiang, Renchi Yang, Donghao Wu

[fp] $GIGP^{+}$: A CPU-GPU Co-Processing Engine for Multi-Vector Retrieval
Zheng Bian, Man Lung Yiu, Bo Tang

[fp] Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function
Xiang Li, Yanghao Xiao, Chunyuan Zheng, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin

[fp] Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding
Houlun Chen, Xin Wang, Guangyao Li, Yuwei Zhou, Yihan Chen, Jia Jia, Wenwu Zhu

[fp] Inductive Dual-Polarity Modeling via Static-Dynamic Disentanglement for Dynamic Signed Networks
Yikang Hou, Junjie Huang, Yijun Ran, Tao Jia

[fp] Hierarchical Cluster-based Open-World Graph Active Learning
Yayong Li, Zhengyi Du, Hong Zhang, Jonathan Wilton, Jinran Wu, Zongli Liu, Nan Ye

[fp] PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs
Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao

[fp] Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment
Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He

[fp] Seeing the Whole Through the Parts: Discovering Objects through Semantic Part Mining in Weak Supervision
Shucheng Li, Weixuan Xu, Le Jiang, Hao Wu, Fengyuan Xu, Fan Wu, Feng Lyu

[fp] Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun

[fp] LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Pengyue Jia, Tong Xu, WEI HUANG, Chong Chen, Xiangyu Zhao

Perspective Papers

[pr] Analytical Search
Yiteng Tu, Shuo Miao, Weihang Su, Yiqun Liu, Qingyao Ai

[pr] Mental Models, Absence, and Information Behavior in LLM-Based RAG Search
Bruno Nadalic Sotic, Jaap Kamps

[pr] Evaluation validity in information retrieval
Paul Thomas, Nick Craswell, Mark Sanderson, Seth Spielman, Robert Sim, Ryen White

[pr] Rethinking Semantic-Collaborative Integration: Why Alignment Is Not Enough
Maolin Wang, Dongze Wu, Jianing Zhou, Hongyu Chen, Beining Bao, Yu Jiang, Chenbin Zhang, Chang Wang, Jian Liu, Lei Sha

[pr] Stop Using the Wilcoxon Test: Myth, Misconception and Misuse in IR Research
Julián Urbano

[pr] Towards a Relevance Posterior in Neural Information Access
Andrew Parry, Emmanouil Georgios Lionis, Debasis Ganguly, Sean MacAvaney

[pr] Evaluation of Information Access Agents under Simulated AI Marketplace Dynamics
To Eun Kim, Alireza Salemi, Fernando Diaz, Hamed Zamani

[pr] Towards a General Intelligent Information Agent: Framework, Models, and Evaluation
Chengxiang Zhai

[pr] LLM-Oriented Information Retrieval: A Denoising-First Perspective
Lu Dai, Liang Sun, Fanpu Cao, Ziyang Rao, Cehao Yang, Hao Liu, Hui Xiong

[pr] Deletion Isn't Enough: Auditing RAG for Selective Forgetting
Leila Tavakoli, Mark Sanderson

[pr] Towards Inclusive Retrieval-Augmented Generation: Challenges and Opportunities for Cognitively Impaired Users
Claire Rogers, Asmaa Z. A. M. Alqadri, Fiona A. Beaton, Yashar Moshfeghi

[pr] Privacy Preserving Information Retrieval: Defining Privacy Research Pillars for a Future Research Agenda
Francesco Luigi De Faveri, Guglielmo Faggioli, Asia Biega, Nicola Ferro

Reproducibility Papers

[rp] Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun

[rp] On the Reproducibility of "Hypencoder: Hypernetworks for Information Retrieval"
Arne Eichholtz, Yongkang Li, Jutte Vijverberg, Tobias Groot, Mohammad Aliannejadi

[rp] Price-Aware Recommender Systems: A Cross-Paradigm Reproducibility Study
Fernando Medina, Maria Salamo, Ludovico Boratto, David Contreras

[rp] A Reproducibility Study of Metacognitive Retrieval-Augmented Generation
Gabriel Iturra-Bocaz, Petra Galuščáková

[rp] RE-TRIANGLE: Does TRIANGLE Enable Multimodal Alignment Beyond Cosine Similarity in Retrieval?
Arijit Ghosh, Aritra Bandyopadhyay, Chiranjeev Bindra, Jingfen Qiao

[rp] The Vulnerability of LLM Rankers to Prompt Injection Attacks
Yu Yin, Shuai Wang, Bevan Koopman, Guido Zuccon

[rp] Insights into the Efficiency of Open-Source Score-at-a-Time Search Engines: A Reproducibility Study
Katelyn Harlan, Andrew Trotman, Veronica Liesaputra

[rp] Reproducing Complex Set-Compositional Information Retrieval
Vincent Degenhart, Dewi Timman, Arjen de Vries, Faegheh Hasibi, Mohanna Hoveyda

[rp] Revisiting Text Ranking in Deep Research
Chuan Meng, Litu Ou, Sean MacAvaney, Jeff Dalton

[rp] Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking
Haodong Chen, Shengyao Zhuang, Zheng Yao, Guido Zuccon, Teerapong Leelanupab

[rp] A Reproducibility Study of Bundle Editing and Bundle Recommendation
Yiran An, Lin Li, Ming Li, Wenxin Ye, Qing Xie, Jimmy Xiangji Huang

[rp] A Reproducibility Study of LLM-Based Query Reformulation
Amin Bigdeli, Radin Hamidi Rad, Lê Hải Sơn, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri

[rp] Mind the Metric: Reproducibility and Fair Benchmarking of Spectral Graph Models for Collaborative Filtering
Domenico de Gioia, Claudio Pomo, Ludovico Boratto, Tommaso Di Noia

[rp] Beyond Relevance: A Reproducibility Study of Efficiency, Effectiveness, and Reasoning Overhead in LLM-Based Retrieval
Abdelrahman Abdallah, Jamie Holdcroft, Mohammed Ali, Adam Jatowt

[rp] Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval
Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke

[rp] Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG
Jorge Gabín, Anxo Pérez, Javier Parapar

[rp] A Standardized Re-evaluation of Conversational Recommender Systems on the ReDial Dataset
Ivica Kostric, Krisztian Balog

[rp] From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai, Duc-Hoang Pham, Huy-Son Nguyen, Cam-Van Thi Nguyen, Masoud Mansoury, Duc-Trong Le, Hoang-Quynh Le

[rp] Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Segmentation Strategies for Information Retrieval
Yongjie Zhou, Shuai Wang, Bevan Koopman, Guido Zuccon

[rp] The Powerless Noise: How Experimental Settings Shape the Reported Power of Noise
Michal Mazuryk, Fleur Dolmans, Louis Gehringer, Ina Klaric, Jia-Huei Ju, Mohammad Aliannejadi

[rp] Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions
Utshab Kumar Ghosh, Ashish David, Shubham Chatterjee

[rp] Understanding Wacky Weights: A Dissection of SPLADE's Learned Term Importance
Gregory Polyakov, Harrisen Scells, Carsten Eickhoff

[rp] Comparing Token Pruning Approaches for Multi-Vector Retrieval
Ferdinand Schlatt, Hanno Barschel, Matthias Hagen

[rp] A Replicability Study of Joint Product Quantisation for Effective Space-Efficient Dense Retrieval
Craig Macdonald, Nicola Tonellotto, Zhlli Shen

[rp] Reproducing Adaptive Reranking for Reasoning-Intensive IR
Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand

[rp] Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM
Sahel Sharifymoghaddam, Yijun Ge, Raghav Vasudeva, Jimmy Lin

[rp] Can QPP Choose the Right Query variant? Evaluating Query Variant Selection for RAG Pipelines
Negar Arabzadeh, Andrew Drozdov, Michael Bendersky, Matei Zaharia

[rp] The Relevance of (Relevant) Entity Presence
Norbert Boudens, Chris Kamphuis, Arjen de Vries

Resource Papers

[rr] iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification
Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang, Hua Ma, Zhu Sun

[rr] AgentSim: A Platform for Verifiable Agent-Trace Simulation
Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic

[rr] FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs
Yan Wang, Keyi Wang, Shanshan Yang, Jaisal Patel, Jeff Zhao, Fengran Mo, Lingfei Qian, Xueqing Peng, Jimin Huang, Guojun Xiong, Yankai Chen, Victor Gutierrez Basulto, Xiao-Yang Liu, Jian-Yun Nie

[rr] EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection
Ancheng Xu, Zhihao Yang, Jingpeng Li, Guanghu Yuan, Longze Chen, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyu Chang, Yukun Chen, Hamid Alinejad-Rokny, Min Yang

[rr] A Dataset of Cultural Heritage Manipulation on English Wikipedia in the Russo-Ukrainian Context
Maxime Garambois, Hamest Tamrazyan, Emanuela Boros

[rr] A Sketch+Text Composed Image Retrieval Dataset for Thangka
Jinyu Xu, Yi Sun, Jiangling Zhang, Qing Xie, Daomin Ji, Zhifeng Bao, Jiachen Li, Yanchun Ma, Yongjian Liu

[rr] F2-Gen: An Open-Source Web Platform for Scenario-Driven Financial Fraud Data Simulation
Junquan Gu, Zehao Gong, Runchen Ji, Kun Shi, Xiangfeng Luo, Hang Yu

[rr] Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation
Yan Wang, Yi Han, Lingfei Qian, Xueqing Peng, Yueru He, Dongji Feng, Zhuohan Xie, Vincent Zhang, Rosie Guo, Fengran Mo, Jimin Huang, Yankai Chen, Jian-Yun Nie

[rr] R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising
Yunshan Peng, Ji Wu, Wentao Bai, Yunke Bai, Jinan Pang, Wenzheng Shu, Yanxiang Zeng, Xialong Liu, Peng Jiang

[rr] CLAX: Fast and Flexible Neural Click Models in JAX
Philipp Hager, Onno Zoeter, Maarten de Rijke

[rr] LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation
David Carmel, Simone Filice, Guy Horowitz, Yoelle Maarek, Oren Somekh, Ran Tavory, Alexander Shtoff

[rr] CalmSet: A Domain-Specific Test Collection for Affective Music Retrieval for Children with ASD
Abhishek Karwankar, Liam Stapley, Daniel Stevens, Matthew Louis Mauriello

[rr] KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
Changle Qu, Sunhao Dai, Ke Guo, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Lantao Hu, Han Li, Jun Xu

[rr] Content-Based Dataset Knowledge Graphs for Dataset Search
Qing Shi, Jing He, Xintian Pan, Jialiang Wan, Gong Cheng

[rr] Beyond Maintenance: A Benchmark and Multi-Agent Framework for Repository-Usage Code Generation
Kaitao Lin, Songwen Gong, Adam Jatowt, Jiexin Wang, Yi Cai

[rr] BioCLEAR Benchmark for Biomedical Text Simplification
Jan Bakker, Liana Ermakova, Jaap Kamps

[rr] TREC iKAT 2025: A Test Collection for the Offline and Interactive Evaluation of Conversational Search
Zahra Abbasiantaeb, Simon Lupart, Marcel Gohsen, Nailia Mirzakhmedova, Johannes Kiesel, Jeff Dalton, Mohammad Aliannejadi

[rr] WebMall - A Multi-Shop Benchmark for Evaluating Web Agents
Ralph Peeters, Aaron Steiner, Luca Schwarz, Julian Yuya Caspary, Christian Bizer

[rr] IIRSim: A Dashboard for User Simulation
Saber Zerhoudi, Adam Roegiest, Michael Granitzer

[rr] KCC: Korean Civil Case Dataset for Legal Information Retrieval
Minhan Cho, Soyoung Park, S. Shyam Sundar, Daejin Choi, Jinyoung Han

[rr] JFinTEB: Japanese Financial Text Embedding Benchmark
Masahiro Suzuki, Hiroki Sakaji

[rr] ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems
Pierre Sicco Lubitzsch, Maarten de Rijke, Sebastian Schelter

[rr] DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent
Wu Tongzhou, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

[rr] SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation
Weihang Su, Anzhe Xie, Qingyao Ai, Jianming Long, Xuanyi Chen, Jiaxin Mao, Ziyi Ye, Yiqun Liu

[rr] Sim.API: A Middleware to Simplify the Use of User Simulators for Shared Tasks in Conversational Search
Marcel Gohsen, Nailia Mirzakhmedova, Zahra Abbasiantaeb, Johannes Kiesel, Simon Lupart, Jeffrey Dalton, Benno Stein, Mohammad Aliannejadi

[rr] SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise
Yuejie Li, Ke Yang, Yueying Hua, Bolin Chen, Jianhao Nie, Yueping He, Caixin Kang

[rr] Auto-Judge: A Cross-Task Benchmark for Comparing LLM Judges for Citation-Grounded RAG Systems
Naghmeh Farzi, Tim Hagen, Eugene Yang, Maik Fröbe, Ronak Pradeep, Hossein A. Rahmani, Xi Wang, Oleg Zendel, Martin Potthast, Laura Dietz

[rr] PeerPrism: Peer Evaluation Expertise vs Review-writing AI
Soroush Sadeghian, Alireza Daqiq, Radin Cheraghi, Sajad Ebrahimi, Negar Arabzadeh, Ebrahim Bagheri

[rr] WeatherArchive: A Benchmark for Retrieval-Augmented Reasoning over Historical Weather Archives
Yongan Yu, Xianda Du, Qingchen Hu, Jiahao Liang, Jingwei Ni, Dan Qiang, Kaiyu Huang, Grant Mckenzie, Renee Sieber, Fengran Mo

[rr] NanoKnow: How to Know What Your Language Model Knows
Lingwei Gu, Nour Jedidi, Jimmy Lin

[rr] OpeNTF2: Fairness-aware Graph Neural Team Formation
Hamed Loghmani, Md Jamil Ahmed, Kap Thang, Gabriel Rueda, Hossein Fani

[rr] Refairmulate: A Large-Scale Dataset for Gender-Fair Query Reformulations
Hai Son Le, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri

[rr] From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models
Tao Wen, Shuai Shao, Pei Ke, Xu Han, Jie Zou, Guannan Li, Tao Tian, Jinjie Qiu, Lan Wang, Ke Qin

[rr] GONets: A First-Look Into GitHub Organisation Networks
Hridoy Sankar Dutta, Biswadeep Khan, Parth Mitesh Shah, Amit A. Nanavati

[rr] Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
Xiaopeng Li, Wenlin Zhang, Yingyi Zhang, Pengyue Jia, Yejing Wang, Yichao Wang, Yong Liu, Huifeng Guo, Xiangyu Zhao

[rr] QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li, Jun Xu

[rr] TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving
Xinkai Zhang, Jingtao Zhan, Yiqun Liu, Qingyao Ai

[rr] The Wikidata Query Logs Dataset
Sebastian Walter, Hannah Bast

[rr] Orcheo: A Modular Full-Stack Platform for Conversational Search
Shaojie Jiang, Svitlana Vakulenko, Maarten de Rijke

[rr] MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval
Deniz Türkmen, Suchana Datta, Dwaipayan Roy, Daniel Hienert, Philipp Mayr-Schlegel, Derek Greene

[rr] Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries
Yin Wu, Quanyu Long, Jing Li, Jianfei Yu, Wenya Wang

[rr] RRE-GTC: A Geo-Temporal Cluster Dataset for Real-Estate Price Estimation and Market-Aware Search
Irina Govorova, Aleksandr Alekseitsev, Irina Podlipnova, Meruza Kubentayeva, Yuriy Dorn

[rr] TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
Ce Li, Xiaofan Liu, Zhiyan Song, Ce Chi, Boshen Shi, Chen Zhao, Guanguang Chang, Zhendong Wang, Kexin Yang, Xing Wang, Chao Deng, Junlan Feng

[rr] Beyond Top-e: Simulation-Based Interactive Evaluation for Query Suggestions
Jorge Gabín, Javier Parapar, Xi Wang

[rr] A Sensitivity-Aware Test Collection for Search Among Personal Information
Jack McKechnie, Graham McDonald, Craig Macdonald

[rr] CTCL: A Cross-Language Benchmark for Matching Patients to Clinical Trials
Maciej Rybinski, Wojciech Kusa, Necva Bölücü, Georgios Peikos, Aditya Joshi, Sarvnaz Karimi, Aitziber Atutxa, Javier Del Ser, Ahmet Bolucu, Monica Chierichetti, Pritam Dasgupta, Nicolás Jiménez García, Borja Pedruzo, Angelika Romańska, Ioulia Symeonidou

[rr] WebFAQ 2.0: A Multilingual QA Dataset with Mined Hard Negatives for Dense Retrieval
Michael Dinzinger, Laura Caspari, Ali Salman, Irvin Topi, Jelena Mitrović, Michael Granitzer

[rr] Ehugbo-QA: Diagnosing the Alignment Gap in Dialectal Cross-Lingual Information Retrieval
Ukachi Eze-Mbey, Victor Olufemi, Athanase Bahizire, Prasenjit Mitra, Mikel Ngueajio

[rr] A Taxonomy and Catalog of SERP Elements Across Web Search Engines
Adelaide Santos, Carla Teixeira Lopes

[rr] Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
Dake Zhang, Mark Smucker, Charles Clarke

[rr] CoverageBench: Evaluating Information Coverage across Tasks and Domains
Saron Samuel, Andrew Yates, Dawn Lawrie, Ian Soboroff, Trevor Adriaanse, Benjamin Van Durme, Eugene Yang

[rr] Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation
Xuhong He, To Eun Kim, Fernando Diaz, Maik Fröebe, Jaime Arguello, Bhaskar Mitra

[rr] iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics
Preetam Prabhu Srikar Dammu, Arnav Palkhiwala, Tanya Roosta, Chirag Shah

[rr] CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models
Armin Toroghi, Faeze Moradi Kalarde, Scott Sanner

[rr] Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents
Mahta Rafiee, Heydar Soudani, Zahra Abbasiantaeb, Mohammad Aliannejadi, Faegheh Hasibi, Hamed Zamani

[rr] \texttt{rerankers}: A Lightweight Unified Toolkit For Reranking Approaches
Benjamin Clavié

[rr] SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits
Anna Volodkevich, Dmitry Anikin, Danil Gusak, Anton Klenitskiy, Evgeny Frolov, Alexey Vasilev

[rr] TM-Bench: Benchmarking Large Language Models on Low-Resource Traditional Mongolian
Zhenjie Gao, Feilong Bao, Aruukhan Bai, Ruichen Hou, Xieqi Ji, Dabalgan Wang, Hugjil Ming, Yuan Li

[rr] NERBench-Chhattisgarh: A Multi-Family NER Dataset for Low-Resource Indic Languages
Rajesh Kumar Mundotiya

[rr] AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

[rr] SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Session
Saber Zerhoudi

Short Papers

[sp] GLoMar: Benchmarking Web Retrieval in LLMs in Global and Local Marathi Contexts
Sahil Kale

[sp] RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation
Haolin Zhang, Longtao Xiao, Guohao Cai, Ruixuan Li, Xiu Li

[sp] Delay-Aware Sequential Recommendation with Dynamic Graphs and Variate-Temporal Decomposition
Yoonhyuk Choi

[sp] Humans, LLMs, and Measures Do Not Align in Attributed Information Retrieval
Lukas Gienapp, Jenny Lang, Martin Potthast, Harrisen Scells

[sp] Named Entity-Driven Graph Smoothing to Enhance Pretrained Document Embeddings in Clustering Tasks
Imed Keraghel, Mohamed Nadif

[sp] TDHGNN: A Temporal Directed Hypergraph Neural Network for Bitcoin Fraud Detection
Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun

[sp] Temporal User-Agnostic Ranking: Detecting Preference Evolution while Preserving Ethical Principles
Guilherme Ramos, Ludovico Boratto, Mirko Marras

[sp] Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations
Jingfen Qiao, Gabrielle Poerwawinata, Thong Nguyen, Jia-Huei Ju, Eugene Yang, Evangelos Kanoulas, Andrew Yates

[sp] CoCo: Conformal Confidence Suppression to Optimize Search Results
Zhou Qin, Shuang Wu, Yoon Kim, Yi Liu, Wenyang Liu

[sp] PrepRet: Automated Data Preparation Pipeline Selection for Neural Retrieval
Jing Chang, Chang Liu

[sp] FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction
Zenan Dai, Jinpeng Wang, Junwei Pan, Dapeng Liu, Lei Xiao, Shu-Tao Xia

[sp] ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation
Johannes Kruse, Ryotaro Shimizu, Kasper Lindskow, Jon Tofteskov, Michael Riis Andersen, Julian McAuley, Jes Frellsen

[sp] Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data
Minghao Guo, Ziyi Ye, Wujiang Xu, Xi Zhu, Wenyue Hua, Dimitris N. Metaxas

[sp] ZIPBid: Hierarchical Zero-shot Incremental Spend Planning for Auto-bidding
Yunke Bai, Wenzheng Shu, Jinan Pang, Wentao Bai, Yunshan Peng, Ji Wu, Yanxiang Zeng, Kaiyuan Li, Xialong Liu

[sp] When RAG Disagrees: Detecting Latent Epistemic Conflict via Logit Interactions
Saisab Sadhu, Dwaipayan Roy, Tanmay Basu

[sp] Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion
Xin Song, Kaiyuan Li, Jinxin Hu

[sp] ADaFuSE: Adaptive Diffusion-generated Image and Text Fusion for Interactive Text-to-Image Retrieval
Zhuocheng Zhang, Xingwu Zhang, Kangheng Liang, Guanxuan Li, Richard McCreadie, ZIJUN LONG

[sp] Separating Wheat from Chaff: Fine-Grained Defenses Against Poisoning in Multi-Perspective RAG
Yanxiao Zhao, Longzhu He, Li Sun, Sen Su

[sp] On the Robustness of LLM Re-Rankings
Reyhaneh Goli, Alistair Moffat

[sp] RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
Yulei Huang, Hao Deng, Haibo Xing, Jinxin Hu, Chuanfei Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng

[sp] AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng

[sp] Differentiable Dual Anchor Negative Sampling for Graph-based Recommendation
Xi Wu, Wenzhe Zhang, Kexin Zhao, Jiquan Peng, Jibing Gong

[sp] WPGRec: Wavelet Packet Guided Graph Enhanced Sequential Recommendation
Peilin Liu, Zhiquan Ji, Gang Yan

[sp] Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation
Olivier Jeunen, Shashank Gupta

[sp] Calibrating Uncertainty with Cross-Model Consistency for LLM Hallucination Mitigation
Shu Zhou, Rui Ling, junan chen, Tao Fan, Hao Wang

[sp] Reward Shaping for Robust Refusal in Small Language Models for Retrieval-Augmented Question Answering
Thilina C. Rajapakse, Maarten de Rijke

[sp] Equip Pre-ranking with Target Attention by Residual Quantization
Yutong Li, Yu Zhu, Yichen Qiao, Ziyu Guan, Lv Shao, Tong Liu, Bo Zheng

[sp] A Multi-Granularity Game-Theoretic Approach to Weakly Supervised Temporal Article Grounding
Shuyi He, haowen , ZOUPU , ZhouSong , Qingchao Kong

[sp] An Asymmetric-difference based Document Exact Similarity Search Algorithm
Lianyin Jia, Yongxue Zhao, Mengjuan Li, Xiuxing Li, Ying Jiang, Jiaman Ding

[sp] Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval
Youngjoon Jang, Seongtae Hong, Hyeonseok Moon, Heuiseok Lim

[sp] Latent Retrieval Augmented Generation
Shu Zhou, junan chen, Rui Ling, Tao Fan, Hao Wang

[sp] Context Convergence Improves Answering Inferential Questions
Jamshid Mozafari, Bhawna Piryani, Adam Jatowt

[sp] Beyond Unimodal Perspectives: Generative Retrieval with Multimodal Semantics
Jing Zhu, Mingxuan Ju, Yozen Liu, Shubham Vij, Danai Koutra, Neil Shah, Tong Zhao

[sp] GraphSynthQA: Knowledge-Graph-Guided Query Synthesis and Step-Level Preference Optimization for Web Agents
Chiwei Zhu, Mingxuan Du, Benfeng Xu, Shengzhuo zhang, Xiaorui Wang, Zhendong Mao

[sp] Targeted Parameter Selection for Rank-Biased Measurement
Alistair Moffat

[sp] HE-DeepFM: An FHE Inference System for CTR Prediction with Efficient FM Interactions
Qiyue Su, Hang Gu, Teng Wang, Zhendong Zheng, Qianyu Cheng, Lei Gong, Zhiguang Wang, Chao Wang

[sp] Booking Funnel and Substitution-Aware User Behavior Modeling for Demand Prediction and Joint Room Pricing
Zhikang Fan, Zihao Chen, Pin GAO, Ruohan Zhan, Shaowen Zhang, Xingrui Li, Jianpei WEN, Su Zhao, Shuai Chen, Wei Lin

[sp] When Context Bites: Detecting RAG Poisoning via Document-Level Attention Collapse
Yingtao Ren, Ziyi Zhao, Yiwei Fu, Xiao Luo, Yu-Cheng Chang, Chin-teng Lin

[sp] Semantic Recall for Vector Search
Leonardo Kuffo, Ioanna Tsakalidou, Roberta De Viti, Albert Angel, Jiří Iša, Rastislav Lenhardt

[sp] LLM-based Semantic and ID Representations for Sequential Recommendation
Donglin Zhou, Weike Pan, Zhong Ming

[sp] Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools
Baris Arat, Emre Sefer

[sp] MSW-NTM: A Spherical Wasserstein Autoencoder for Multimodal Neural Topic Modeling with LLM-Guided Topic Refinement
Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan

[sp] Negotiating the Punchline: Contextual Meme Understanding via Discrete Semantic Energy Minimization
Bingbing Wang, Zihan Wang, Zhengda Jin, Jing Li, Ruifeng Xu, Min Zhang

[sp] The LLM Effect on IR Benchmarks: A Meta-Analysis of Effectiveness, Baselines, and Contamination
Moritz Staudinger, Wojciech Kusa, Allan Hanbury

[sp] Revisiting Feedback Models for HyDE
Nour Jedidi, Jimmy Lin

[sp] From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
Jeeho Shin, Kyungho Kim, Kijung Shin

[sp] An Analysis of Attribute Utilization in Side Information-integrated Sequential Recommendation
Minje Kim, Wooseung Kang, Suwon Lee, Gun-Woo Kim, Sang-Min Choi

[sp] CRED: Calibrated Relational Enhanced Distillation for LLM-Based Pointwise Reranking
Qingran Yang, Yuting Wang, Wenxuan Zhang, Xue Li, Lanshun Nie

[sp] Not All Imputations are Trustworthy: An Uncertainty-aware Multi-modal Entity Alignment Framework
Weijie Wang, Shijie Luo, Xinyuan Lu, Qinpei Zhao, Weixiong Rao

[sp] Does LLM Relevance Labelling Work for Arabic?
Marwah Alaofi, Fatima Haouari

[sp] Follow the TRACE: Exploiting Post-Click Trajectories for Online Delayed Conversion Rate Prediction
Xinyue Zhang, Yuanhao Ding, Xiang Ao

[sp] StAR: Adaptive Structure-Aware Reranking for Semantic-Structural Alignment in GraphRAG
Junghyun Oh, Sungsu Lim

[sp] REMICA: Reflective Memory and Interventional Context Alignment with Multi-Agent LLMs for Inappropriate Utterance Detection
Juyoung Kim, Ji-Hong Park, Sang-Min Choi, Gun-Woo Kim

[sp] ExODRec: An Explainable Framework for Outlier Detection Model Recommendation
Saba Fathi Rabooki, Ziqi Xu, Elham Naghizade

[sp] One-Pass Decoding for Generative Recommendation with WFST-Constrained A$^*$ Search
Puji Wang, Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Xueqi Cheng

[sp] Load-sensitive Selective Pruning in Dense Retrieval
Maria Diana Calugaru, Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto, Fabrizio Silvestri

[sp] DisCoRec: Disentangled Conformity-aware Recommendation with LLM-Guided Multi-View Learning
Minkyung Song, Soyoung Park, Sungsu Lim

[sp] Efficient Query Region Expansion and Decomposition based Spatial Range Query Algorithm
Lianyin Jia, Rongjin Wang, Yingbin Su, Suprio Ray, Mengjuan Li, Jiaman Ding

[sp] When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment
Chuting Yu, Hang Li, Guido Zuccon, Joel Mackenzie, Teerapong Leelanupab

[sp] Revisiting Poison Pills for Neural Information Retrieval
Moriya Menachem, Oren Kurland, Fiana Raiber

[sp] SCORE-RAG: Self-Correcting Exploration-Exploitation Retrieval for Multi-hop Question Answering
Shu Zhou, Rui Ling, junan chen, Tao Fan, Hao Wang

[sp] Prototype-Calibrated Graph Prompting for Few-Shot Graph Adaptation
Yumeng Zhao, Yan Yan, Chuang Zhao, Yingzi Shi, Bei Hua, Shuo Wen

[sp] Numerical Hallucinations in Retrieval-Augmented Generation: Detection and Analysis
Sera Singha Roy

[sp] Unifying On- and Off-Policy Variance Reduction Methods
Olivier Jeunen

[sp] Failing Forward: Understanding Query Failure in Retrieval, Judgment, and Generation
Seyed Mohammad Hosseini, Negar Arabzadeh, Mohammad Hossein Saliminabi, Dimitrios Androutsos, Morteza Zihayat, Ebrahim Bagheri

[sp] Mitigating Collaborative Semantic ID Staleness in Generative Retrieval
Vladimir Baikalov, Iskander Bagautdinov, Sergey Muravyov

[sp] LUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels
I-Fan Lin, Faegheh Hasibi, Suzan Verberne

[sp] FAST-MEL: A Fast, Accurate, and Storage Efficient Solution for Multimodal Entity Linking
Thomas DERRIEN, laurent amsaleg, Pascale Sebillot

[sp] Learning Evidence of Depression Symptoms via Prompt Induction
Eliseo Bao, Anxo Pérez, David Otero, Javier Parapar

[sp] Spectral Tempering for Embedding Compression in Dense Passage Retrieval
Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas

[sp] Layer-wise Token Compression for Efficient Document Reranking
Shengyao Zhuang, Zhichao Xu, Ivano Lauriola

[sp] BANANA: Bounded Adaptive Navigation Architecture for Nested Archives
Anup Roy, Rishabh Upadhyay, Animesh Rameshbhai Panara, Aidan Philip Millar, Larry Murray, Robin Mills

[sp] LearnDCG: End-to-End Joint Optimization of Ranker and Loss in Neural Ranking
Mohammad Hossein Saliminabi, Dimitrios Androutsos, Ebrahim Bagheri

[sp] LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar

[sp] Towards emotional intelligence in conversational AI: How well can LLMs recognise emotion in conversations?
Islam A. Hassan, Yvette Graham

[sp] PeaCap: Patch-Level Retrieval for Lightweight Retrieval-Augmented Image Captioning
Robin Viltoriano, Wei Emma Zhang, Hu Wang, Mong Yuan Sim, Yanjun Shu

[sp] Modalities of Expert Search: How Users Transition Between Names and Topics
Marjan Azimi, Alistair Moffat, Justin Zobel

[sp] Retrieval-Augmented Contrastive Learning for Dynamic Graph Anomaly Detection
kamal berahmand, Saman Forouzandeh, Mehrnoush Mohammadi, Mahdi Jalili

[sp] Task-Adaptive Retrieval over Multi-Modal Web Histories via Learned Graph Memory
Saman Forouzandeh, kamal berahmand, Mahdi Jalili

[sp] Exploring and Improving Cross- and Multi-Domain Personalized Question Answering via a Dual Retrieval Augmentation Approach
Ozel Yilmazel, Hamed Zamani, James Allan

[sp] HuffmanEmbed: Using Huffman Coding for Embedding Table Compression in Deep Learning Recommendation Models
Chaoyi Jiang, Abdulla Alshabanah, Hossein Entezari Zarch, Keshav Balasubramanian, Murali Annavaram

[sp] Answer First, Evidence Second? Uncovering Hidden Risks in Well-Structured AI Search Summaries
Jinman Li, Xuanang Chen, Ruoxi Xu, Hongyu Lin, Yaojie Lu, Zecheng Fan, Xianpei Han, Le Sun

[sp] MuPP: Multi-Preference Padding for Sequential Recommendation
Wooseung Kang, Minje Kim, Suwon Lee, Gun-Woo Kim, Sang-Min Choi

[sp] RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
Ziye Tong, Jiahao Liu, Weimin Zhang, Hongji Ruan, Derick Tang, Zhanpeng Zeng, Qinsong Zeng, Peng Zhang, Tun Lu, Ning Gu

[sp] CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning
Boyang Wang, Yash Vishe, Xin Xu, Zachary Novack, Xunyi Jiang, Julian McAuley, Junda Wu

[sp] Attend to Fragments: How Key Information Affects Large Language Models for Factual Inconsistency Detection
Xindi Guo, Zhen Xie, Patrick H. Chen

[sp] Optimal Re-Ranking Depth
Siqing Huo, Andrew Parry, Debasis Ganguly, Charles L. A. Clarke

[sp] From continuous Pretraining to Domain-Adaptive Reranking via Task Vector Adaptation
Sanghyun Cho, Myeongjin Lee, Jong-hun Shin, Jeong Heo, Kiyoung lee, Soojong Lim

[sp] Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders
Jiwon Jeong, Donghee Han, Sungrae Hong, Woosung Kang, Mun Yong Yi

[sp] Selective Distillation for Continual Named Entity Recognition with Memory Replay
Weihua Wang, Yue Cao, Feilong Bao

[sp] GeoSearch: Augmenting Worldwide Geolocalization with Web-Scale Reverse Image Search and Image Matching
Tung-Duong Le-Duc, Hoang-Quoc Nguyen-Son, Minh-Son Dao

[sp] Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
Jiancheng Wang, Mingjia Yin, Hao Wang, Enhong Chen

[sp] ACE: Anisotropy-Controllable Embedding for LLM-enhanced Sequential Recommendation
Dongcheol Lee, Hye-young Kim, Jongwuk Lee

[sp] One Pass, Any Order: Position-Invariant Listwise Ranking for LLM Recommenders
Ethan Bito, Yongli Ren, Estrid He

[sp] GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation
Zhonghui Zhang, Feng Jiang, Shaowei Qin, Jiahao Zhao, Min Yang

[sp] Towards Unified Affective Reasoning via In-Context Reinforcement Learning
Feng Xiong, Jun Wang, Ruifeng Xu

[sp] Same Image, Different Meanings: Toward Retrieval of Context-Dependent Meanings
Ayuto Tsutsumi, Ryosuke Kohita

[sp] SocialDropout: Dynamic Agent Dropout for Social Simulation
Huajie Wang, Geng Tu, Xi Zeng, Ruifeng Xu, Min Zhang

[sp] Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale
Xin Liu, Ruqing Zhang, Yu-An Liu, Lixin Su, Jiafeng Guo, Xueqi Cheng

[sp] Teaching Small Models When Not to Call Functions: Structured Reasoning for Tool Refusal in Low-Resource Languages
Trung Thai Tran, Tuan Dung Vo Pham, Tushar Semwal

[sp] A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations
Geng Tu, Taiyu Niu, Xi Zeng, Ruifeng Xu, Min Zhang

[sp] Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
Zihan Li, Gustavo Escobedo, Marta Moscati, Oleg Lesota, Markus Schedl

[sp] Sparton: Fast and Memory-Efficient Triton Kernel for Learned Sparse Retrieval
Thong Nguyen, Cosimo Rulli, Franco Maria Nardini, Rossano Venturini, Andrew Yates

[sp] G-CoS: An Interpretable Gain-Cost Framework for User Satisfaction Estimation in Generative Information Retrieval
Jia-Ling Shi, Zhijing Wu, Yidong Liang, Xian-Ling Mao

[sp] Pretraining Exposure Explains Popularity Judgments in Large Language Models
Jamshid Mozafari, Bhawna Piryani, Adam Jatowt

[sp] Query Performance Prediction under Corpus Growth in Dense Retrieval
Kanishka Ghosh Dastidar, Michael Dinzinger, Laura Caspari, Jelena Mitrović, Michael Granitzer

[sp] On the Scaling of Efficiency and Effectiveness in Dense Retrieval
Shu Zhou, junan chen, Rui Ling, Tao Fan, Hao Wang

[sp] Revisiting the Role of Learned Attention Weighting in SASRec
Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

[sp] Mine over Yours: How Authorship Biases Evaluation in Generative Information Retrieval
Jeongwoo Ryu, Kyusik Kim, Soomin Kim, Jinsu Eun, Changhoon Oh, Bongwon Suh

[sp] Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

[sp] Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems
Zhijian Feng, Wenhao Zheng, Xuanji Xiao

[sp] Query-Aware Context Selection for Retrieval-Augmented Generation
Maya Iratni, Mohand Boughanem, Taoufiq Dkaki

[sp] APR: Adaptive Personalised Reranking For Conversational Search
Shen Dong, Iadh Ounis, Debasis Ganguly

[sp] Too Many Questions: Deriving Concise and Effective Nugget Banks
Laura Dietz, Naghmeh Farzi, Eugene Yang, Dawn Lawrie

[sp] ColBERTSaR: Sparsified ColBERT Index via Product Quantization
Eugene Yang, Andrew Yates, Dawn Lawrie, James Mayfield, Saron Samuel, Rohan Jha

[sp] Auditing Query Drift: Do Users Actually Benefit from Pseudo-Relevance Feedback?
Zeyan Liang, Graham McDonald, Iadh Ounis

[sp] Interpretable Evaluation using Query-Specific Rubric Generation
Kaustubh Dhole, Eugene Agichtein

[sp] SAGE: Solver-Aligned Guided Exploration
Nikita Sorokin, Ivan Sedykh, Timur Ionov, Valentin Malykh

[sp] BeLink: Biomedical Entity Linking meets Generative Re-Ranking
Darya Shlyk, Stefano Montanelli, Lawrence Hunter

[sp] The Matryoshka Hypencoder
Majd Alkawaas, Sean MacAvaney

[sp] Simulating the Lateral Reader for News Trustworthiness Reports with an Iterative Multi-Agent RAG System
Dake Zhang, Mark D. Smucker

[sp] Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering
Maryam Amirizaniani, Alireza Salemi, Hamed Zamani

[sp] Sparse Contrastive Learning for Content-Based Cold Item Recommendation
Gregor Meehan, Johan Pauwels

[sp] Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
Yuxing Tian, Fengran Mo, Zhiqi Huang, Weixu Zhang, Jian-Yun Nie

[sp] Decision-Based Stopping Methods for Systematic Reviews
Aaron H.A. Fletcher, Mark Stevenson

[sp] RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution
Jinming Nian, Fangchen Li, Dae Hoon Park, Yi Fang

[sp] Efficient Memory Alignment for Long-term Conversational Information Seeking
Qingyang Xu, Xiao Liu, Fang Zhouhua, Yong Li, Zhiwei Liu, Vincent Lee, Haishuai Wang

[sp] Who Is Shopping With You? How Persona Design Shapes Cognitive and Social Engagement in AI Shopping Agents
Hyungwoo Song, Kyusik Kim, Hyeonseok Jeon, Minjeong Shin, Bongwon Suh

[sp] Automating Generation of Long-Form Queries
Shivani Upadhyay, Daniel F Campos, Nandan Thakur, Ronak Pradeep, Nick Craswell, Jimmy Lin

[sp] Optimizing Retriever Selection for LLMs via Learning to Rank
To Eun Kim, Fernando Diaz

[sp] Scalable K-Means Guided Partitioning for Block-based Sparse Document Retrieval
Parker Carlson, Sammy Lesner, Antonio Mallia, Tao Yang

[sp] Improving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Merging
Ahmed Rayane Kebir, Jose G Moreno, Lynda Tamine

[sp] M-DaQ: Retrieving Multilingual High Quality and Diverse Samples for Instruction Fine-Tuning Datasets
Chunguang Zhao, Yilun Liu, Pufan Zeng, Yuanchang Luo, Shimin Tao, Minggui HE, Weibin Meng, Song Xu, Chen Liu, Mahongxia , Zhang Li, Boxing Chen, Daimeng Wei

[sp] Retrieval-Augmented Contrastive Learning for Knowledge Tracing
kamal berahmand, Mehrnoush Mohammadi, Homa Babai, Hassan Khosravi

[sp] Clustering-Based Methods for Vector-Based Pseudo-Relevance Feedback
Xavier Velez, Andrew Yates, Eugene Yang, Trevor Adriaanse, Sanjeev Khudanpur

[sp] EvoMem: Timeline-Grounded Validity Adjudication for Non-Monotonic Multi-Agent Memory
Zhenhua Wang, Chunlei Wang, Hanchen Luo, Yike Gao, Bang Wang

[sp] EviRAG: Evidence-Guided Retrieval-Augmented Generation for Medical Vision-Language Models
Yiyang Gu, Jiayue Fan, Kaili Liu, Bohan Wu, Binqi Chen, Zequn Liu, Zhiping Xiao, Rong-Cheng Tu, Xiao Luo, Ming Zhang

[sp] MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
Xihang Wang, Zihan Wang, Chengkai Huang, Quan Z. Sheng, Lina Yao

[sp] Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
Shengyao Zhuang, Xueguang Ma, Zheng Yao, Shuai Wang, Bevan Koopman, Jimmy Lin, Guido Zuccon

[sp] ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
Sunwoo Kim, Geon Lee, Kyungho Kim, Jaemin Yoo, Kijung Shin

[sp] CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation
Rui Qi, Fengran Mo, Sijin Lu, Yufeng Chen, Jian-Yun Nie, Kaiyu Huang

[sp] Designing Diverse RAG Benchmarks: A Hierarchical Framework for Synthetic Question Generation
Chase M Fensore, Kaustubh Dhole, Jason Fan, Eugene Agichtein, Joyce C. Ho

[sp] Why Knowledge Distillation Fails to Scale in Neural Retrieval
Shu Zhou, Rui Ling, junan chen, Tao Fan, Hao Wang

[sp] Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation
Zhongtao Rao, Peilin Zhou, Dading Chong, Zhiwei Chen, Shoujin Wang, Nan Tang

[sp] Reformulating Post-Training as Matrix Factorization for Joint Embedding Refinement
YeoJun Choi, Yoon-Sik Cho

[sp] HALO: Hyperbolic Adaptation via LoRA Overlay for Hierarchy-Aware Cross-Modal Retrieval
Teng Long, Andrew Yates

[sp] Cross-Sensory Comparison of EEG Signals for Brain-Based Information Retrieval
Niall McGuire, Yashar Moshfeghi

[sp] PEARL: Profile-based Explainable Agent for Edge LLM Recommendation via Latent Decomposition
Jinkwon Lee, HAYOUNG OH

[sp] Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization
Weihang Su, Xuanyi Chen, Yueyue Wu, Qingyao Ai, Yiqun LIU

[sp] Partial Label Learning-Inspired Denoising Implicit Feedback for Recommendation
Huilin Chen, Jie Lu, Kezhi Lu, Zhen Fang, Guangquan Zhang

[sp] L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
Pingjun Pan, TingtingZhou , Peiyao Lu, Tingting Fei, Hongxiang Chen, Chuanjiang Luo

Demo Short Papers

[de] MuseKG: An Interactive Knowledge Graph Over Museum Collections
Jinhao Li, Jianzhong Qi, Soyeon Caren Han, Eun-Jung Holden

[de] ESCOMIC: User Adaptive Explainable Search for Comic Books
Suraj Shashidhar, Sayantan Polley, Soumit Roy, Andreas Nürnberger

[de] Peerispect: Claim Verification in Scientific Peer Reviews
Ali Ghorbanpour, Soroush Sadeghian, Alireza Daqiq, Sajad Ebrahimi, Negar Arabzadeh, Seyed Mohammad Hosseini, Ebrahim Bagheri

[de] RecNextEval: A Reference Implementation for Temporal Next-Batch Recommendation Evaluation
Tze-Kean Ng, Joshua Teng-Khing Khoo, Aixin Sun

[de] TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl, Yashar Deldjoo

[de] SOINSPIRE: Agentic AI for Automating Professional Visibility and Countering Content Homogenization
Aleksandr Farseev, Kirill Lepikhin, Kevin Manuel, Maksim Gorodilov, Zhao Kui, Ilya Makarov, Jaime Francisco Maldonado, Ian Cassidy, Ronan Byrne

[de] Labadain Chat: A Conversational Agent for the Tetun Language
Gabriel de Jesus, Sérgio Nunes

[de] FactOWL: A Cost-Efficient Tool for Long-Form Factuality Evaluation
Andrey Sakhovskiy, Nikita Sushko, Maria Marina, Vasily Konovalov, Elena Tutubalina, Alexander Panchenko, Pavel Braslavski

[de] C³Flow: SIMD-Style Concurrent Claude Code Workflow for Scaling Deep Research
Yunfan Gao, Xinyi Huang, Yijie Zhong, Zhidong Fan, Zhengke Gui, Lei Liang, Yun Xiong, Haofen Wang

[de] WISE: A Multimodal Search Engine for Visual Scenes, Audio, Objects, Faces, Speech, and Metadata
Prasanna Sridhar, Horace Lee, David M. S. Pinto, Andrew Zisserman, Abhishek Dutta

[de] MCP Servers for Pyserini and RankLLM: Enabling Agentic Retrieval-Augmented Generation
Yijun Ge, Zibo Guo, Sahel Sharifymoghaddam, Jimmy Lin

[de] PatentMerit: A Holistic System for In-depth Technology Understanding
Tianxiang Xie, Jingxuan Wu, Jiaying Liu, Junxiang Zhang, Shuo Yu

[de] H-MAPS: Hierarchical Memory-Augmented Proactive Search Assistant for Scientific Literature
Koji Nishikawa, Makoto P. Kato

[de] T-RADAR: Simulating Trademark Examination as an Interactive Retrieval Interface for Conflict Risk Assessment
Yongdeuk Seo, Noah Lee, Hyun-seok Min, Sungchul Choi

[de] XFoodRec: An Explainable Mobile Recommender for Personalized Healthy Eating
Amir Mollazadeh Sardroudi, Mourad Oussalah, Mehrdad Rostami

[de] SLeDoC: System for Legal Document Comparison
Elisei Rykov, Nikolay Ivanov, Maria Bandulevich, Kseniia Petrushina, Valentin Malykh, Vasily Konovalov, Alexander Panchenko, Ilseyar Alimova

[de] IR Lens: A Tool for Interpreting Cross-Encoder Models
Mihai Tudor Branga-Peicu, Mathias Vast, Basile Van Cooten, Laure Soulier, Jules Françoise, Benjamin Piwowarski, Baptiste Caramiaux

[de] Visual RAG at Scale: Tile-Level Spatial Pooling for Efficient Multi-Vector Document Retrieval
Ara Yeroyan

[de] Auto-ARGUE: LLM-Based Report Generation Evaluation
William Walden, Marc Mason, Orion Weller, Laura Dietz, John Conroy, Neil Molino, Hannah Recknor, Bryan Li, Gabrielle Kaili-May Liu, Yu Hou, Dawn Lawrie, James Mayfield, Eugene Yang

[de] EasyRAG: A Beginner-friendly and Interactive Framework for Retrieval-Augmented Generation
Xuanchen Zhou, Haitao Yu, Kaipeng Li, Yubo Fang

[de] MathMex-PDF: Towards Accessible Visual Mathematics
Nathaniel Serrano, Lucas Matheson, Clayton Durepos, Behrooz Mansouri

[de] ATVG: Agentic System for Factually Grounded Travel Advertisement Video Generation
Byung Eun Jeon, Xiao Bai, Wen Zhang, Jinchao Li

[de] MonacGraph: A Monadic Second-Order Logic Extended Graph Database System with Community-Aware Storage
Yuntao Jin, Songyao Wang, Chaokun Wang

[de] A Demonstration of WikiRAG: An Evidence-based Link Prediction for Wikidata with Retrieval Augmented Generation
Rohan Sabu, Ola El Khatib, Djellel Difallah

Industry Papers

[ip] DPEO: Dynamic Preference Evolution Optimization for Self-Evolving CTR Prediction
Kun Yao, Congcong Liu, Ziheng Ni, Wenlong Chen, Changping Peng, Ching Law

[ip] Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
Chaosheng Dong, Michinari Momma, Yijia Wang, Yan Gao, Yi Sun

[ip] Cross-Stage Signal Propagation for Negative Filtering in Multi-Stage Ad Delivery
Min Zhang, Ganlin Song, Dong Liang, Lizhang Qin, Chao Ma

[ip] Gesture Clustering for Real-Time User Disentanglement in Shared-Account Recommendation
Huiying Hu, Xinlang Yue, Kexin Yi, Lingzhen Xu, Yangyi Fang, Muyang Li, Yongqi Liu, Kaiqiao Zhan

[ip] LLM-Click Agreement: Harmonizing Implicit Feedback and Semantic Judgments for Enterprise Search
Avinash Kumar, Hardi Rathod, Rohan Mallick, Swarnangsu Acharyya

[ip] When & How to Write for Personalized Demand-aware Query Rewriting in Video Search
Cheng Cheng, Chenxing Wang, Aolin Li, Haijun Wu, Huiyun Hu, Juyuan Wang, Dongliang Liao

[ip] SkyDistill: Navigating Fuzzy Flight Search Ranking via Precise Intent Distillation
Maolei Huang, Huawei Cao, Shuhan Song

[ip] PCANet: Price Change Aware Framework for Mitigating Inconsistencies in Large-Scale Ranking Systems
Maolei Huang, Huawei Cao, Shuhan Song

[ip] Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising
Zhaoqi Zhang, Jiaming Deng, Miao Xie, Linyou Cai, Qianlong Xie, Xingxing Wang, Siqiang Luo, Gao Cong

[ip] Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation
Ying Sun, Yanyan Zou, Xiao Wang, Hanchuan Xu, Xuanhua Yang, Sulong Xu, Junbo Qi, Shengjie Li

[ip] Domain-Specific Reranking: When is Adaptation Worth the Cost?
Tuukka Karvonen, Alessio Staffini, Kenichi Maeda, Menaka Arudchelvan, Tomomi Ozawa, Nami Tokunaga, Noriaki Hirokawa

[ip] CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
Lixiang Wang, Shaoyun Shi, Peng Wang, Wenjin Wu, Peng Jiang

[ip] Unified Semantic Modeling Framework for Large-Scale Job Understanding at Linkedin
Dan Xu, Baofen Zheng, Jianqiang Shen, Qi Xiao, Benjamin Le, Wen Pu, Saurabh Gupta, Ran Zhou, Neha Saraf, Alice Leung, Qianqi Shen, Liangjie Hong, Jingwei Wu, Wenjing Zhang

[ip] Beyond Pure Incremental and Full Retraining: Hybrid Training and Serving for Industrial Recommender Systems
Lu Fan, Qijiong Liu, Zhongzhou Liu, Guoyuan An, Wei Guo, Yong Liu, Xiao-Ming Wu

[ip] OxygenREC-1.5: Balancing Exploration and Multi-Objective Gains in Large-Scale Recommender Systems
Zhiwei Zhang, Qingyang Li, Ming Zhang, Yanchen Qiao, Zhen Wang, Ziyang Ji, Xiangyu Qian, Shijie Yang, Yanlong Zang, Weijie Ding, Zhi Ma, Zhen Li, Yaqiang Zang, Pinghua Gong

[ip] Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
Clark Mingxuan Ju, Tong Zhao, Leonardo Neves, Liam Collins, Bhuvesh Kumar, Jiwen Ren, Lili Zhang, Wenfeng Zhuo, Vincent Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah

[ip] WeSEAL: Well-calibrated Search for Eliminating Attention-sink Leakage
Juyuan Wang, Chenxing Wang, Aolin Li, Huiyun Hu, Haijun Wu, Yuchen Fang, Jin Xu, Dongliang Liao

[ip] Calibrate your items! Train CTR Models in two Steps for Robust Recommendations
Yi Han, Jay Fleischman

[ip] Building a Production Shopping Agent at Scale
Chen Luo, Jason Choi, Ziwei Dong, Rahul Dua, Cong Xu, Xuejing Lei, Yuchen Yan, Xin Zhang, Josef Valvoda, Gaurang Sinkar, Binit Jha, Yi Liu, Monica Cheng

[ip] Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
Gui Ling, Weiyuan Li, Yue Jiang, Wenjun Peng, Xingxian Liu, Dongshuai Li, Fuyu Lv, Dan Ou, Haihong Tang

[ip] RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
Zhang Bin, Huang Weipeng, Wang Dimin, Zhu Jialin, Jiang Yuning, Wang Zhaode, Lv Chengfei, Wang Jian, Ma Qichao, Chen Li, Wu Junqing, Yu Yipeng

[ip] Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation
Ge Fan, Nan Zhao, Kai Meng, Cong Luo, Yang Fu, Huiping Chu, Jialin Liu, Yuning Jiang, Bo Zheng

[ip] Bridging the Topology-Semantic Gap: A Benchmark and Framework for Power Grid Work Ticket Generation
Jiangbing Mao, Tianke Xiang, Yantong Zhu, Wenliang Liu, Qinggang Zhang, Zhihong Zhang

[ip] SCOPE: Scalable Cross-Task Orthogonal Progressive Experts for Multi-Task Learning in Recommendations
Zixian Yang, Wei Xu, Li Li, Zhaokai Huang, You Li, Jianbin Lin, Wenliang Zhong, Can Ye

[ip] Surface-Form Neural Sparse Retrieval: Robust Fuzzy Matching for Industrial Music Search
Paul Greyson, Zhichao Geng, Wei Zhang, Yang Yang

[ip] HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval
Haotong Bao, Jianjin Zhang, Weihao Han, Xue Wu, Qi Chen, Dongzhe Jiang, Zhengxin Zeng, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang

[ip] PersonaPlugin: A Multi-Source Persona Framework for LLM Personalization in Telecommunications
Jinmo Kang, Minseop Lee, Songha Kim, Junho Shin, Changho Lee, Yeonghwan Jeon, Hyuncheol Jo

[ip] RedGR: Unified Generative Retrieval for Recommendation in REDnote
Mengcheng Fang, Hongyu Wang, Xichuan Niu, Dong Xu, Honggang Wang, Tao Zhuang, Ping Yang, Yao Hu

[ip] Automated Feature Lifecycle Management in Large-Scale Continual Ranking Systems
Bhavani Shankar P S V N, Thejus Vm, Surender Kumar

[ip] Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System
Ruocong Tang, Yang Huang, Xing Fang, Chenyi Yan, Chuike Sun, Jing Wang

[ip] Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling
Shasvat Desai, Isha Shah, Jhalak Nilesh Acharya, Md Omar Faruk Rokon, Hong Yao, Utkarsh Porwal, Kuang-Chih Lee

[ip] SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
Yang Yu, Lei Kou, Huaikuan Yi, Bin Chen, Yayu Cao, Lei Shen, Chao Zhang, Bing Wang, Xiaoyi Zeng

[ip] Cross-Domain Preference Transfer for Promoting Engagement with Built-in Chatbots
Tianyu Wu, Guanyu Jiang, Hongwei Zheng, Haoming Li, Yongchun Zhu, Jingwu Chen, Feng Zhang

[ip] Reasoning-Grounded Intent Injection for Generative Recommendation
Xusong Chen, Peini Guo, Fang Liu, Yu Zhao, Yiyang Hu, Mengqin Que, Peng Li, Haoran Wang, Zhiwei Fang, Wenlong Chen, Changping Peng, Ching Law

[ip] AIPO: Adaptive Anchored Intent-aware Policy Optimization for Generative Recommendation
Kun Yao, Congcong Liu, Ziheng Ni, Cai Shang, Wenlong Chen, Changping Peng, Ching Law

[ip] Cross-Category Basket Recommendation via Transactional Debiasing and Graph Propagation
Serhat Mirkan Acar

[ip] CMSL: Constructive Multi-Sequence Learning for Recommendation Systems
Zikun Cui, Renzhi Wu, Junjie Yang, Li Sheng, Jijie Wei, Linfeng Liu, Tai Guo, Tao Jia, Xiaodong Wang, Hong Li, Li Yu, Sri Reddy, Hong Yan

[ip] Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy
Yipin Dai, Ruocong Tang, Xing Fang, Yang Huang, Jing Wang, Zhentao Song, He Guo

[ip] Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification
Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen, Yatharth Saraf

[ip] JARVIS: An Evidence-Grounded Retrieval System for Interpretable Deceptive Reviews Adjudication
Nan Lu, Leyang Li, Yurong Hu, Rui Lin, Shaoyi Xu

[ip] REDUCE: Budgeted Verification Retrieval for Rare Incident Monitoring
Radhika Mundra, Kartikey Singh Somvanshi, Jaewook Kim, Debojyoti Saha, Sakshi Jindal, Javaid Nabi

[ip] A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems
Yiming Zhu, Xu Liu, Ziyun Xu, Zheng Wu, Joena Zhang, Sirius Chen, Chenheli Hua, Silvester Yao, Qichao Que, Wentao Shi, Junfeng Pan, Linhong Zhu

[ip] NBA-Net: Next-Behavior-Aware Network for Intent Recommendation
Haoxin Shen, Peng Ying, Wanjie Tao, Jie Liang, Qaun Lu, Ning Jiang

[ip] What's in a Name? Product Normalization for Enterprise RAG at NetApp
Grant Glass

[ip] MMRM: A Multiplex Multimodal Representation Model for Product Ranking in E-commerce Search
Zhen-Lin Chen, Maosen Sheng, Peng Lin, Jianmin Chen, Zhuojian Xiao, Dongyue Wang, Xiwei Zhao

[ip] When Search Is Not Enough: Ranking Content for Query-Less Browse Surfaces
Shreya Mahapatra, Diksha Bhardwaj, Anandita Chopra, Tracy Holloway King

[ip] SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search
Guowen Li, Yuepeng Zhang, Shunyu Zhang, Yi Zhang, Xiaoze Jiang, Yi Wang, Jingwei Zhuo

[ip] GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation
Yanyan Zou, Junbo Qi, Lunsong Huang, Yu Li, Kewei Xu, Jiahao Gao, Binglei Zhao, Xuanhua Yang, Sulong Xu, Shengjie Li

[ip] SECRET: SEarch query Classification with label RETrieval
Anna Tigunova, Ghadir Eraisha, Ahmed Ragab

[ip] Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
Tingqiao Xu, Shaowei Yao, Chenhe Dong, Yiming Jin, Zerui Huang, Dan Ou, Haihong Tang, Bo Zheng

[ip] Enhancing Multi-Valued Treatment Uplift Modeling with Knowledge Sharing and RCT Data
Jiaxiang Liu, Luo He, Zhenghao Zeng, Deqiang Kong, Funan Mu, Jiaming Zhang, Zilong Lu, Peng Jiang, Hongyan Liu

[ip] Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com
Eva Agapaki, Amritpal Singh Gill

[ip] Preliminary Study of an Evaluation Benchmark for Vision-Language Models in the Fashion E-Commerce
Ryotaro Shimizu, Sai Htaungkham, Shion Sakurai, Yuki Shimizu

[ip] Policy-Grounded Dynamic Facet Suggestions for Job Search
Dan Xu, Baofen Zheng, Qianqi Shen, Jianqiang Shen, Wenqiong Liu, Chunnan Yao, Ping Liu, Rajat Arora, Kevin Kao, Hsiang Lin, Wanjun Jiang, Yusuke Takebuchi, Jingwei Wu, Wenjing Zhang

[ip] STAR: Staged Training with Aligned Reinforcement Learning and Multi-Faceted Distillation for Interpretable E-commerce Relevance
Chenxu Wang, Jianzhi Shao, Chi Zhang, Tao Zhang

[ip] What Gets Cited: Competitive GEO in AI Answer Engines
Rahul Vishwakarma, Shushant Kumar, Ratnesh Jamidar

[ip] From Queries to Playlists: An LLM-Driven Architecture for Semantic Music Search at Scale
Rinat Mullahmetov, Fedor Buzaev, Roman Bogachev, Ilya Sedunov, Oleg Pavlovich, Kamil Mazitov, Vladimir Kravtsov, Elena Tutubalina, Daria Pugacheva, Ivan Sukharev

[ip] A Cost-Efficient AI Copilot for High-Volume E-commerce Customer Support
Aditya Jindal, Midthur Ayeshasiddiqa, Adhish Prasoon

[ip] Generative Enhanced Modeling: A Collaborative Framework for Enhancing User Representations via Semantic ID
Li Li, Wei Xu, Yu Cheng, Jianbin Lin, Can Ye

[ip] Fast and Feasible: Permutation-based Constrained Reranking for Revenue Maximization
Svetlana Shirokovskikh, Anastasiia Soboleva, Ekaterina Solodneva, Aleksandr Katrutsa, Roman Loginov, Egor Samosvat

[ip] Efficient LLM Adaptation for Opinion Knowledge Graph Construction: Lessons from the Telecom Industry
Nai-Chi Yang, Yu-Ming Hsieh, Wei-Yun Ma, Kuo-Wei Chang

[ip] GenFacet: End-to-End Generative Faceted Search via Multi-Task Preference Alignment in E-Commerce
Zhouwei Zhai, Min Yang, Jin Li

[ip] How Trendyol Enables Trustworthy A/B Testing at E-Commerce Scale Through Integrated Statistical Methodologies
Serhat Mirkan Acar, Damla Hızlı Sert, Kaya Tatar

[ip] Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests
Yuhan Li, Jiayun Ni, Ao Li, Yue Wang, Chee Seng Paul You, Yongmin Hu, Runze Yu

[ip] Bridging the Gap: An End-to-End Framework for Decoupled Alignment in Dynamic Semantic ID Generation
Yu Cheng, Li Li, Jianbin Lin, Can Ye, Wei Xu

[ip] Compact and Robust Text Embedding Models using Task-Targeted Distillation
Mohammad Kalim Akram, Saba Sturua, Nastia Havriushenko, Quentin Herreros, Michael Günther, Maximilian Werk, Han Xiao

[ip] LiBRA: Enhancing Live-streaming Recommendation with Bigraph-based Capacity-aware Ranking Approach
Youran Zhang, Xiaotong Guo, Jiayi Lu, Runze Yu, Zhuang Cai, Qinglei Wang

[ip] RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
Tingyu Chen, Wenkai Zhang, Li Gao, Lixin Su, Ge Chen, Dawei Yin, Daiting Shi

[ip] A Cascaded Generative Approach for e-Commerce Recommendations
Moein Hasani, Hamidreza Shahidi, Trace Levinson, Yuan Zhong, Guanghua Shu, Vinesh Gudla, Tejaswi Tenneti

[ip] Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search
Mengxiang Chen, Zhouwei Zhai, Jin Li

[ip] Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
Evangelia Christakopoulou, Vivekkumar Patel, Hemanth Velaga, Sandip Gaikwad

[ip] M²GR: Generative User Interest Modeling via Multi-Granularity Multi-Objective CoT for Industrial Recommendation
Yuqi Zhang, Jingwen Shi, Wen Shi, Jia Li, Zhen Chen, Jing Zhou, Dongyue Wang, Xiwei Zhao, Sulong Xu

[ip] SAER: Scalable Assessment of E-commerce Recommendations using Large Language Models
Xiang Liu, Manoj Srivatsav Regulagedda, Sapan Patel, Walter Wong

[ip] Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank
Suryaa Veerabathiran Seran, Ashwin Naresh Kumar, Tracy King, Jing Zheng

[ip] Improving Dating Outcomes by Predicting for Conversations at Hinge
Frankie Lu, Dan Turkel, Sihan Chen, Behrooz Afghahi

[ip] SOLARIS:Speculative Offloading of Latent-based Representation for Inference Scaling
Zikun Liu, Liang Luo, Qianru Li, Zhengyu Zhang, Wei Ling, Jingyi Shen, Zeliang Chen, Yaning Huang, Jingxian Huang, Abdallah Aboelela, Chonglin Sun, Feifan Gu, Fenggang Wu, Hang Qu, Huayu Li, Jill Pan, Kaidi Pei, Laming Chen, Longhao Jin, Qin Huang, Tongyi Tang, Varna Puvvada, Wenlin Chen, Xiaohan Wei, Xu Cao, Yantao Yao, Yuan Jin, Yunchen Pu, Yuxin Chen, Zijian Shen, Zhengkai Zhang, Dong Liang, Ellie Wen

[ip] SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support
Xingyan Liu, Xiyue Luo, Linyu Li, Ganghong Huang, Jianfeng Liu, Honglin Qiao

[ip] Don't Contrast the Impossible: Region-Constrained Batching for Contrastive User Modeling on a Local Community Platform
Seungho Han, Byeongchang Kim, Dong Jin Yu

[ip] TRACE: Term-level Reasoning And Chain-of-thought Enhanced distillation for E-commerce Multi-modal Relevance Learning
Chenxu Wang, Chi Zhang, Fangyi Liang, Jianzhi Shao, Manyi Wang, Tao Zhang

[ip] Request-Only Optimization for Recommendation Systems
Liang Guo, Wei Li, Lucy Liao, Huihui Cheng, Rui Zhang, Yu Shi, Yueming Wang, Yanzun Huang, Keke Zhai, Pengchao Wang, Timothy Shi, Xuan Cao, Shengzhi Wang, Renqin Cai, Zhaojie Gong, Omkar Vichare, Rui Jian, Leon Gao, Shiyan Deng, Xingyu Liu, Xiong Zhang, Fu Li, Wenlei Xie, Bin Wen, Rui Li, Lu Fang, Xing Liu, Jiaqi Zhai

[ip] Effective Offline LLM and DNN based Matching, Filtering and Ranking for Search Ads Retrieval in E-Commerce
Shuping Ji, Marco Jw Kang, Jianguo Yao

[ip] Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study
Emmanuel Aboah Boateng, Kyle MacDonald, Akshad Viswanathan, Sudeep Das

[ip] Item-Targeting with Keyword Enhancement: A Hybrid Approach to Ads Targeting
Hua Zou, Dipanwita Saha, Ning Chen, Chen Yang, Xinxin Shu, Abraham Bagherjeiran

[ip] COMET: Compatibility Oriented Multi-modal Embedding Transformer
Dween Rabius Sanny, Prateek Sircar, Deepak Gupta

[ip] Scaling and Stabilizing Large-Scale Embedding-Based Retrieval
Zhen Yang, Juexin Lin, Hongwei Shang, Kaihao Li, Feng Liu, Satya Chembolu, Xunfan Cai, Xinyi Liu, Cun Mu, Tony Lee, Ciya Liao

[ip] SnapTrend: LLM-Enhanced Topical Trend Detection at Snapchat
Hangqi Zhao, Jay Li, Abhiruchi Bhattacharya, Cong Ni, Jason Yeung, Jinchao Ye, Kai Yang, Akshat Malu, Manish Malik

[ip] User Activity Modeling under Inflated Distribution
Xiang Li, Zhao-Yu Zhang, Chunyuan Zheng, Qingying Chen, Huiyou Jiang, Haoxuan Li, Zhouchen Lin

[ip] Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer
Huimu Wang, Xingzhi Yao, Yiming Qiu, Qinghong Zhang, Haotian Wang, Yufan Cui, Songlin Wang, Sulong Xu, Mingming Li

[ip] Query-Attention Dual-Stream Framework with Cross-Category Transfer for Efficient Fine-Grained Interest Pre-Ranking
Huimu Wang, Xujun Liu, Yiming Qiu, Zhenlin He, Enqiang Xu, Yihao Wang, Jinyuan Zhao, Guangtao Nie, Songlin Wang, Mingming Li

[ip] Bridging the Gap: Generative Retrieval via Query-to-Multi-Span Framework for Effective E-commerce Search
Huimu Wang, Yiming Qiu, Xingzhi Yao, Guangtao Nie, Zuxu Chen, Zhenlin He, Songlin Wang, Guoyu Tang, Sulong Xu, Jingwei Zhuo, Mingming Li

[ip] PGSF: Profile-Guided Semantic Fusion for Decoupled Industrial Pre-Ranking
Chuike Sun, Nan Xu, Xing Fang, Yang Huang, Jing Wang, Junzhou Chen

[ip] Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision
Luming Chen, Jiaqi Xi, Raghav Saboo, Martin Wang, Sudeep Das

[ip] Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
Chen Gao, Zixin Zhao, Lv Shao, Tong Liu

[ip] Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling
Yiqing Wu, Haoming Li, Guanyu Jiang, Jiahao Liang, Yongchun Zhu, Jingwu Chen, Feng Zhang

[ip] All the News That Fits in Bits: Learned Rotation-Aware Binary Projections for Efficient News Retrieval at NDTV
Ritwick Ghosh

[ip] From Time and Place to Preference: LLM-Driven Geo-Temporal Context in Recommendations
Yejin Kim, Shaghayegh Agah, Neeraj Sharma, Mayur Nankani, Maria Peifer, Feifei Peng, H. Howie Huang, Sardar Hamidian

[ip] Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded Reasoning
Artem Sakhno, Daniil Tomilov, Yuliana Shakhvalieva, Inessa Fedorova, Daria Ruzanova, Omar Zoloev, Andrey Savchenko, Maksim Makarenko

[ip] Population-Guided Intent-Aware Query Rewriting for Web Search
Yuanzhao Guo, Shuai Zhang, Anqi Li, Jiaming Zhang, Wei Li, Shihao Liu, Daiting Shi, Yuan Tian

[ip] As It Was: Aligning LLM Search Evaluation with Historical User Preferences
Ali Vardasbi, Gustavo Penha, Enrico Palumbo, Claudia Hauff, Hugues Bouchard, Mounia Lalmas

[ip] OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
Chen Sun, Beilin Xu, Boheng Tan, Yaqiang Zang, Pinghua Gong, Jiacheng Wang, Yuefeng Sun, Rite Bo, Ying He

[ip] Policy-Guided RAG: Enforcing Verbatim and Controlled Synthesis
Mina Naghash Asadi, Leila Tavakoli, Mustafa Bilgrami

[ip] Learning to Summarize for Search Relevance with Reinforcement Learning
Nitin Yadav, Changsung Kang, Hongwei Shang

[ip] MedNQS: Medical State-Aware Dual-Stage Next-Turn Question Suggestion for Online Medical Consultations
Yue He, Dongsheng Bi, Minghui Yang, Jian Wang, Jinjie Gu, Junwei Liu

[ip] Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems
Xunzhuo Liu, Bowei He, Xue Liu, Haichen Zhang, Huamin Chen

[ip] From Doxa to Logos in Scientific Peer Review
Negar Arabzadeh, Sajad Ebrahimi, Alireza Daqiq, Soroush Sadeghian, Seyed Mohammad Hosseini, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri

[ip] Gated Bidirectional Linear Attention for Generative Retrieval
Artem Matveev, Vladislav Tytskiy, Sergei Makeev, Sergei Liamaev

[ip] DIVER: Unlocking Diversity in Ad Headline Generation with Large Language Models
Chang Wang, Siyu Yan, Depeng Yuan, Yuqi Chen, Yanhua Huang, Yuanhang Zheng, Shuhao Li, Yinqi Zhang, Kedi Chen, Mingrui Zhu, Ruiwen Xu

[ip] Item Price Understanding via Empirical Bayes with Application in Product Search Ranking
Ankush Israney, Xinyi Liu, Niral Kapadia, Cun Mu

[ip] LLM-Informed Bayesian Content Exploration in Ultra-Recency Recommendation
Qing Feng, Ivan Ji, Ellen Hua, Shujian Bu

[ip] BERT-Based Cross-Encoder for Large-Scale Engagement Prediction and Re-ranking in Walmart Search Engine
Shuyi Chen, Philip Fu, Ajit Puthenputhussery, Changsung Kang, Ming Sun, Cun Mu, Sachin Yadav, Hongwei Shang

[ip] Beyond Semantic Similarity: Explicit Intent Modeling for Query-Product Matching
Amanuel Alambo, Sathappan Muthiah, Diego Sierra, Zhenzhong Zhang, Atiq Islam, Alex Cozzi

[ip] From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking
Yilun Zhu, Nikhita Vedula, Shervin Malmasi

[ip] Agentic Query Reformulation for Contextualized Hyper-Personalized Product Search
Raghav Gaggar, Sean D Rosario, Daniel Varivoda, Shahriar Golchin, Jayant Sachdev, Ali Lafzi, Siddharth Singh, Jason Cho, Yog Domlur, Swati Kirti, Chittaranjan Tripathy

[ip] Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling
Ruixiao Sun, Diego Uribe, Zhimeng Jiang, Yuanzhen Lin, Jiarui Wang, Yuening Li, Danfeng Guo, Zhizhong Chen, Chuan He, Liang Liu

[ip] CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation
Yanan Cao, Ashish Ranjan, Sinduja Subramaniam, Evren Korpeoglu, Kaushiki Nag, Kannan Achan

[ip] Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation
Ziyang Chen, Renbing Chen, Daowei Li, Jinzhi Liao, Jiashen Sun, Ke Zeng, Xiang Zhao

[ip] Scalable Multi-vector Retrieval for Policy Enforcement on E-commerce Marketplaces
Akshit Sarpal, Srinivas Kotamraju, Raviteja Uppalapati

[ip] Pin-SCALE: Semantic Cascading and Alignment Learning for Engagement-Aware IDs in Cold-Start Recommendations
Jiaxing Qu, Junpeng Hou, Yijie Ding, Jaewon Yang, Olafur Gudmundsson, Sai Xiao, Huizhong Duan

[ip] CSMAD: Hallucination Detection via Multi-Agent Debate with NLI-Verified Contradictory Statements
Swapnil Gupta, Akshay Verma, Khushi Gupta, Prateek Sircar, Deepak Gupta

[ip] KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
Zhi Sun, Wenming Zhang, Yi Wei, Liren Yu, Zhixuan Zhang, Dan Ou, Haihong Tang

[ip] ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
Hao Jiang, Long Zhang, Guoquan Wang, Sheng Yu, Yang Zeng, Wencong Zeng, Fei Pan, Peng Jiang, Guorui Zhou

[ip] Beyond Fluency: Toward Reliable Trajectories in Agentic IR
Anushree Sinha, Abhishek Dharmaratnakar, Debanshu Das, Srivaths Ranganathan

[ip] RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce
Zhiguo Chen, Guohao Sun, Yiming Qiu, Xingzhi Yao, Mingming Li, Huimu Wang, Yangqi Zhang, Songlin Wang, Sulong Xu

[ip] Constraint Persistence in Conversational Product Search
Saran Kumar Krishnasamy, Inez Wihardjo

[ip] Unifying User Satisfaction and Creator Incentive: A Constrained Optimization Framework for Short-Video Recommendation
Xiaoru Qu, Dingyi Zhang, Zhangxi Yan, Peng Zhang, Hu Liu, Yang Zou, Jian Liang, Kaiqiao Zhan

[ip] LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
Vitalii Belov, Artyom Sosedka, Andrey Sakhovskiy, Elizaveta Kovtun, Artyom Boyarskikh, Semen Budennyy

[ip] Code-Based English Models Reveal Surprising Performance on Chinese QA Pair Extraction Task
Jiajun Yu, Linghan Zheng, Hui Liu, Jiayuan Dong, Yue Shen, Zhiwei Liu, Yaozhen Liang, Yong Li, Haishuai Wang

[ip] RAPO: Reason-Aware Preference Optimization for Factual Table Question Answering over Structured Data
Phani Ram Sayapaneni, Musen Wen, Sunil Goda

[ip] Enhancing Enterprise Assistant Responses with Rich Multimodal Artifacts from Product Documentation
Sohan Patnaik, Sai Sree Harsha, Kowndinya Renduchintala, Milan Aggarwal, Sumit Bhatia, Yunyao Li

[ip] Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
Dario Simionato, Andrea Tonon, Mingxue Wang, Weiguo Wang, Tong Gui, Xiaoyue Li

[ip] BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration
Yung-Yu Shih, Shang-Yu Su, Tzu-I Ho, Dongzhe Wang, Yun-Nung Chen

Low Resource Environments

[lre] Retrieval for User-Centered Translation: Lessons from RAG-based Tools for Low-Resource Domains
Raphael Merx, Ekaterina Vylomova

[lre] Toward a Telugu Question Answering Dataset for Agricultural IR to Serve Marginal Farmers in Drought-Prone Rayalaseema: A Gap Analysis and Roadmap
Piyush Joshi, Priyansh Singhal

[lre] Morphology-Aware Retrieval for Low-Resource Environments: Advancing Information Retrieval for Shona Language.
Ruvimbo M. Munetsi, Tendai Mukande, Noel E. O Connor

[lre] Graph-Enhanced Sentence Retrieval for Multi-Document Summarization in Low-Resource Languages
Xuan-Hung Le, Thi Toan Do, Hoang-Quynh Le

[lre] Detectability and Evaluation Risks of LLM-Generated Answers in Low-Resource Swahili Agricultural Information Retrieval
Theofrida Maginga, Farian Ishengoma

[lre] Building Foundations for Information Retrieval in Extremely Low-Resource Ethnic Languages: Evidence from Tanzania
Joseph P Telemala, Onesmo S. Nyinondi, Neema N Lyimo, Baraka W. Nyamtiga, Farian S. Ishengoma, Wema L. Msigwa

[lre] ViCSR: A Large-scale Benchmark and Lightweight Two-Stage Framework for Vietnamese Case-to-Statute Retrieval
Minh-Hien Nguyen, Khanh Huyen Nguyen, Tan-Minh Nguyen, Hoang-Quynh Le, Thi-Hai-Yen Vuong

[lre] Offline-First Information Retrieval for Curriculum-Aligned STEM Resources in Low-Resource Namibian Schools
Josephina Muntuumo, Wilbard Lazarus, Naftali Indongo

[lre] Speak Beyond English: Multilingual Prompts Improve Query Classification in Small Language Models
Pratyay Banerjee, Panthadeep Bhattacharjee, Angshuman Jana

[lre] Bridging the Language Gap in Text-to-SQL: Adapting LLMs for Chichewa in a Low-Resource Setting
John Eze, Dunstan Matekenya, Evance Mathewe

[lre] AfriLLMQuant: A Benchmark Evaluation for Quantized African LLMs
Theophilus Owiti

[lre] From Translation to Retrieval: Evaluating LLM-Based Information Retrieval for Hausa and Fongbe
Mahounan Pericles Adjovi, Prasenjit Mitra, Roald Eiselen

[lre] Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented Generation
Abel Jotie, Prasenjit Mitra

[lre] Towards Building a Standard Benchmark for Low-Resource Nepali Information Retrieval
Praveen Acharya, Bal Krishna Bal

[lre] Local Information Access in Marathi: Evaluating LLM-Native Web Retrieval in a Low-Resource Environment
Sahil Kale

Doctoral Abstracts

[dc] Towards Evidence-Aware Retrieval and Verification for Scientific Fact-Checking
Xingyu Deng

[dc] Towards Structurally Robust Cross-Device Federated Recommendation
Aymen Rayane Khouas

[dc] User Search Behavior and Knowledge Effects in Hybrid Search Environment
Jiaman He

[dc] Faithful LLM-Assisted Question Answering for Technical and Academic Search
Juan Luis Filgueiras

[dc] How Should Multimodal Information Be Chunked for Complex Question Answering?
Kangheng Liang

[dc] Efficient Continual Adaptation of Generative Retrieval Systems over Dynamic Corpora
Tuan-Luc Huynh

[dc] Topology-Conditioned Weak Supervision for Scientific Retrieval
Huanwei Xu

[dc] Evaluating Proactivity in Conversational Search through Anticipatory Retrieval
Mouly Dewan

[dc] Characterising the Effects of Social Conformity on Information Seeking in Mixed Human-AI Environments
Nethmi Wijesinghe

[dc] LLMs as Search Engine Components and Users: Infrastructural Adaptations to a Dual Transformation
Francesca Pezzuti

[dc] Adaptive Personalisation for Effective Conversational Search Systems
Shen Dong

[dc] From Lab to Reality: An Eye-tracking Study of How Users are Influenced to Search in the Era of GenAI
Sara Allawati