full papers

• Techie: Tackling Video Prefetching at Edge Networks as POMDP Via an Intrinsically Motivated RL Agent Nawras Alkassab, Chin-Tser Huang, Tania Lorido Botran
• Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation Guojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang
• Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models Hosein Azarbonyad, Zi Long Zhu, Georgios Cheirmpos, Zubair Afzal, Vikrant Yadav, George Tsatsaronis
• Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems Yimeng Bai, Shunyu Zhang, Yang Zhang, Hu Liu, Wentian Bao, Enyun Yu, Fuli Feng, Wenwu Ou
• Combining Evidence and Reasoning for Biomedical Fact-Checking Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato
• IGP: Efficient Multi-Vector Retrieval via Proximity Graph Index Zheng Bian, Man Lung Yiu, Bo Tang
• A Generalised and Adaptable Reinforcement Learning Stopping Method Reem Bin-Hezam, Mark Stevenson
• A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking Henrik Bradland, Morten Goodwin, Per-Arne Andersen, Alexander S. Nossum, Aditya Gupta
• Efficient Re-ranking with Cross-encoders via Early Exit Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri
• A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security Profiles Yongxin Cai, Jing Qiu, Fan Zhang, Qiang Li, Lei Chen
• Exploring Training and Inference Scaling Laws in Generative Retrieval Hongru Cai, Yongqi Li, Ruifeng Yuan, Wang Wenjie, Zhen Zhang, Wenjie Li, Tat-Seng Chua
• Agentic Feedback Loop Modeling Improves Recommendation and User Simulation Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He
• Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations Zhuo Cai, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang, Fang Chen
• General Neural Embedding for Sequence Distance Approximation Zhihao Chang, Ding Wang, Xiu Tang, Kingsum Chow, Jianwei Yin
• QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking Shubham Chatterjee, Jeff Dalton
• AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing Yong Chen, Yuxiang Zhou, Hailiang Dong, Rui Liu, Zhouchen Lin, Dell Zhang
• Pre-training for Unlearning: A Model-agnostic Paradigm for Recommendation Unlearning Guoxuan Chen, Lianghao Xia, Chao Huang
• Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
• VoRec: Enhancing Recommendation with Voronoi Diagram in Hyperbolic Space Yong Chen, Li Li, Wei Peng, Songzhi Su
• Collaborative Signal-guided Diffusion Models for Recommendation Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo
• Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Ni Yabo, Anxiang Zeng
• DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval Kaixiang Chen, Pengfei Fang, Hui Xue
• CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi
• ARC: Approximate Relevant Clip Query in Large-Scale Video Repositories Yue Chen, Yinan Jing, Ziqiang Yu, Xiaohui Yu, Zhenying He, Kai Zhang, X. Sean Wang
• Class Activation Values: Lucid and Faithful Visual Interpretations for CLIP-based Text-Image Retrievals Pengxu Chen, Huazhong Liu, Jihong Ding, Xinghao Huang, Shaojun Zou, Laurence Tianruo Yang
• NR4DER: Neural Re-ranking for Diversified Exercise Recommendation Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan
• Large Language Models Enhanced Hyperbolic Space Recommender Systems Wentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang
• Linear Item-Item Models with Neural Knowledge for Session-based Recommendation Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee
• Dynamic Time-aware Continual User Representation Learning Seungyoon Choi, Sein Kim, Hong-Seok Kang, Wonjoong Kim, Chanyoung Park
• Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search Jun Woo Chung, Huawei Lin, Weijie Zhao
• Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao
• Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma
• Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao
• CIRAG: Retrieval-Augmented Language Model with Collective Intelligence Chenxu Cui, Haihui Fan, Jinchao Zhang, Lin Shen, Bo Li, Weiping Wang
• Mitigating Source Bias with LLM Alignment Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu
• Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
• CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
• Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion Jianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang
• Reasoning and Retrieval for Complex Tables via Reinforced Relational Data Transformation Haoyu Dong, Yue Hu, Yanan Cao
• Understanding the Effect of Opinion Polarization in Short Video Browsing Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Qingyao Ai, Yiqun Liu
• MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks Tanishq Dubey, Sidharth Agarwal, Shubham Gupta, Srikanta Bedathur
• Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy David Elsweiler, Samy Ateia, Markus Bink, Gregor Donabauer, Marcos Fernández Pichel, Alexander Frummet, Udo Kruschwitz, David E. Losada, Bernd Ludwig, Selina Meyer, Noel Pascual Presa
• CoDIME: a Counterfactual Approach for Dimension Importance Estimation through Click Logs Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
• MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation Ruoxuan Feng, Zhen Tian, Qiushi Peng, Jiaxin Mao, Xin Zhao, Di Hu, Changwang Zhang
• Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline Celso França, Gestefane Rabbi, Thiago Salles, Washington Cunha, Leonardo Rocha, Marcos André Gonçalves
• Flow-guided Fine-Tuning for Diverse LLM-based Recommenders Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He
• Generative Auto-Bidding with Value-Guided Explorations Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
• Social Context-Aware Community-Level Propagation Prediction Jinfei Gao, Xiao Wang, Tian Gan, Jianhua Yin, Chuanchen Luo, Liqiang Nie
• Information Retrieval in the Age of Generative AI: The RGB Model Michele Garetto, Alessandro Cornacchia, Franco Galante, Emilio Leonardi, Alessandro Nordio, Alberto Tarable
• The Viability of Crowdsourcing for RAG Evaluation Lukas Gienapp, Tim Hagen, Maik Fröbe, Matthias Hagen, Benno Stein, Martin Potthast, Harrisen Scells
• Measuring Text-Image Retrieval Fairness with Synthetic Data Lluis Gomez
• Enhancing New-item Fairness in Dynamic Recommender Systems Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
• Hyperbolic Multi-Criteria Rating Recommendation Zhihao Guo, Ting Han, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
• X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach
• IVCR-200K: A Large-Scale Multi-turn Dialogue Benchmark for Interactive Video Corpus Retrieval Ning Han, Yawen Zeng, Shaohua Long, Chengqing Li, Sijie Yang, Dun Tan, Jianfeng Dong, Jingjing Chen
• FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu
• Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou
• ULP: Unlabeled Location Prediction from Text Xi He, Yilin Liu, Yijie Sun, Xin Xing, Xingyu Lu, Yanbing Liu
• Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning Tao He, Lizi Liao, Ming Liu, Bing Qin
• A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive Adaptation Weikang He, Yunpeng Xiao, Mengyang Huang, Xuemei Mou, Rong Wang, Qian Li
• CLIP-AdaM: Adapting Multi-view CLIP for Open-set 3D Object Retrieval Xinwei He, Liang Ma, Yuxuan Cheng, Zhichuan Wang, Yulong Wang, Yang Zhou, Xiang Bai
• Explaining Ranking Decisions through a Listwise SHAP Explainer Maria Heuss, Maarten de Rijke, Avishek Anand
• FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval Bohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Xiangyu Zhao
• AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang
• CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao
• Unified Category and Style Generalization for Instance-Level Sketch Retrieval Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang
• LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang
• HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu
• Predicting RAG Performance for Text Completion Oz Huly, David Carmel, Oren Kurland
• MELON: Learning Multi-Aspect Modality Preferences for Accurate Multimedia Recommendation Dongho Jeong, Taeri Kim, Donghyeon Cho, Sang-Wook Kim
• Reason-to-Rank: Distilling Direct and Comparative Reasoning from Large Language Models for Document Reranking Yuelyu Ji, Zhuochun Li, Rui Meng, Daqing He
• PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization Yang Jiao, Xiaodong Wang, Kai Yang
• From Vector Representations to Neural Representations: Learned Query-Specific Relevance Functions Julian Killingback, Hansi Zeng, Hamed Zamani
• Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios Jiwan Kim, Hong-Seok Kang, Sein Kim, Kibum Kim, Chanyoung Park
• DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation Hye-young Kim, Minjin Choi, Sunkyung Lee, Ilwoong Baek, Jongwuk Lee
• Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee
• Personalized Preference Reasoning with Large Language Models for Accurate and Explainable Recommendation Jieyong Kim, Hyunseo Kim, Hyunjin Cho, Seongku Kang, Buru Chang, Jinyoung Yeo, Dongha Lee
• Learning to Rank with Variable Result Presentation Lengths Norman Knyazev, Harrie Oosterhuis
• DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise Control Riwei Lai, Li Chen, Rui Chen, Chi Zhang
• Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality Missing Mingrui Lao, Zheng Li, Yanming Guo, Xueyi Zhang, Siqi Cai, Zhaoyun Ding, Haizhou Li
• Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal Reasoning Xinwei Li, Li Lin, Shuai Wang, Hanqian Wu
• Continual Origin Tracing of LLM-Generated Text Haoran Li, Quan Wang
• Hypercomplex Knowledge Graph-Aware Recommendation Anchen Li, Bo Yang, Huan Huo, Farookh Hussain, Guandong Xu
• Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou
• Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang
• Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu
• Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation Yongqi Li, Hongru Cai, Wang Wenjie, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua
• Incorporating Communication Style and Interaction of Speakers for Sarcasm Explanation in Dialogue Yuqing Li, Wenyuan Zhang, Zheng Lin, Guoxuan Ding, Weiping Wang
• Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval Yongkang Li, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas
• CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation Hanyu Li, Jiayu Li, Weizhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yang Yuekui, Min Zhang, Shaoping Ma
• Rethinking Pseudo Word Learning in Zero-Shot Composed Image Retrieval: From an Object-Aware Perspective Zhe Li, Lei Zhang, Kun Zhang, Weidong Chen, Yongdong Zhang, Zhendong Mao
• Heterogeneous Graph Embedding Made More Practical Fangfang Li, Huihui Zhang, Wei Li, Wei Wu
• How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search Experience Yidong Liang, Zhijing Wu, Fan Zhang, Dandan Song, Heyan Huang
• Multi-Grained Patch Training for Efficient LLM-based Recommendation Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He
• Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu
• Towards Interest Drift-driven User Representation Learning in Sequential Recommendation Xiaolin Lin, Weike Pan, Zhong Ming
• BotBR: Social Bot Detection with Balanced Feature Fusion and Reliability-Enhanced Graph Learning Qilong Lin, Jingya Zhou
• Order-agnostic Identifier for Large Language Model-based Generative Recommendation Xinyu Lin, Haihan Shi, Wang Wenjie, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
• CSRec: Rethinking Sequential Recommendation from A Causal Perspective. Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai
• Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval Hao Liu, Yupeng Hu, Kun Wang, Yinwei Wei, Liqiang Nie
• Generative Recommender with End-to-End Learnable Item Tokenization Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
• Advancing Ship Re-Identification in the Wild: The ShipReID-2400 Benchmark Dataset and D2InterNet Baseline Method Baolong Liu, Roukai Huang, Xin Pan, Chuanhuang Li, Jie Sun, Jianfeng Dong, Xun Wang
• Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
• The Truth Becomes Clearer Through Debate!Multi-Agent Systems with Large Language Models Unmask Fake News Yuhan Liu, Yuxuan Liu, Xiaoqing Zhang, Xiuying Chen, Rui Yan
• On the Scaling of Robustness and Effectiveness in Dense Retrieval Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
• WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers Mugeng Liu, Siqi Zhong, Qi Yang, Yudong Han, Xuanzhe Liu, Yun Ma
• Queries Are Not Alone: Clustering Text Embeddings for Video Search Peiyang Liu, Xi Wang, Ziqiang Cui, Wei Ye
• Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information Kehan Long, Shasha Li, Chen Xu, Jintao Tang, Ting Wang
• Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard Mccreadie, Paul Henderson
• Is Having Rationales Enough? Rethinking Knowledge Enhancement for Hateful Meme Detection Junyu Lu, Bo Xu, Xiaokun Zhang, Haohao Zhu, Kaichun Wang, Liang Yang, Hongfei Lin
• CDC: Causal Domain Clustering for Multi-Domain Recommendation Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
• Enhancing Conversational Search with LLMs Contrastive Distillation on Sparse Retrieval Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas
• Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations Zihan Ma, Minnan Luo, Yiran Hao, Zeng Zhi, Xiangzheng Kong, Jiahao Wang
• Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang
• Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang
• LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding Models Hieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan Rossi, Franck Dernoncourt, Thien Huu Nguyen
• Addressing Missing Data Issue for Diffusion-based Recommendation Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
• Towards Brain Passage Retrieval: An Investigation of EEG Query Representations Niall McGuire, Yashar Moshfeghi
• Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke
• Bridging the Gap: From Ad-hoc to Proactive Search in Conversations Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
• Fairness-Aware Classification over Incomplete Data Xiaoye Miao, Lei Qiang, Guilin Huang, Yangyang Wu, Jianwei Yin
• Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations Maria Movin, Claudia Hauff
• Meta-Guided Adaptive Weight Learner for Noisy Correspondence Chenyu Mu, Erkun Yang, Cheng Deng
• Bridging Personalization and Control in Scientific Personalized Search Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew Mccallum, Hamed Zamani
• Distributionally Robust Optimization for Unbiased Learning to Rank Zechun Niu, Lang Mei, Chong Chen, Jiaxin Mao
• Classifying Term Variants in Query Formulation Nuha Abu Onq, Mark Sanderson, Falk Scholer
• Optimizing Compound Retrieval Systems Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
• Why is Normalization Necessary for Linear Recommenders? Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee
• Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto
• The Great Nugget Recall: An Exploration of Automating Fact Recall Evaluation with Large Language Models Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin
• Towards Accurate Social User Geolocation: MeanShift, Incremental Learning and Graph Convolutional Networks Yaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo
• Dense Video Event Understanding via Question Answering Hangyu Qin, Junbin Xiao, Angela Yao
• Interpretable Knowledge Tracing with Difficulty-Aware Attention and Selective State Space Model Yang Qin, Xinning Zhu, Xiaosheng Tang, Chunhong Zhang, Kunbao Wu, Fengjie Chang, Jianzhou Diao, Zheng Hu
• Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation Yuanpeng Qu, Hajime Nobuhara
• Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu
• Breaking the lens of the telescope: Online Relevance Estimation over Large Retrieval Sets Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand
• LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wang Wenjie, Tat-Seng Chua
• OBELLA: Open the Book for Evaluating Long-form Large Language Model Answers in Open-Domain Question Answering Tianyu Ren, Zhaoyu Zhang, Hui Wang, Karen Rafferty
• Reverse-Engineering the Retrieval Process in GenIR Models Anja Reusch, Yonatan Belinkov
• Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
• Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
• BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment Andrey Sakhovskiy, Elena Tutubalina
• WARP: An Efficient Engine for Multi-Vector Retrieval Jan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab
• TITE: Token-Independent Text Encoder for Information Retrieval Ferdinand Schlatt, Tim Hagen, Martin Potthast, Matthias Hagen
• Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria
• You Are What You Bought: Generating Customer Personas for E-commerce Applications Yimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao
• Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li
• Rating-Aware Homogeneous Review Graphs and User Likes/Dislikes Differentiation for Effective Recommendations Jiwon Son, Hyunjoon Kim, Sang-Wook Kim
• The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment Michael Soprano, Denis Eduard Tapu, David La Barbera, Kevin Roitero, Stefano Mizzaro
• MIDI-Zero: A MIDI-driven Self-Supervised Learning Approach for Music Retrieval Yuhang Su, Wei Hu, Hongfeng Gao, Fan Zhang
• Document Parameterization for Retrieval Augmented Generation Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
• Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu
• Trustworthy Process Rewarding for Retrieval-Augmented Reasoning Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li
• Are Generative AI Agents Effective Personalized Financial Advisors? Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
• Building Large Test Collections with LLM Assistance Rikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai, Ian Soboroff
• A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura
• Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
• Clarifying Ambiguities: On The Role of Ambiguity Types in Prompting Methods for Clarification Generation Anfu Tang, Laure Soulier, Vincent Guigue
• Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
• AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search Mairo Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh, Antonio Penta, Luis A. Leiva, Ioannis Arapakis
• Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Shengsheng Wang
• ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
• Segmentation Similarity Enhanced Semantic Related Entity Fusion for Multi-modal Knowledge Graph Completion Yunpeng Wang, Bo Ning, Xin Wang, Chengfei Liu, Guanyu Li
• FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation Guoquan Wang, Qiang Luo, Weisong Hu, Pengfei Yao, Wencong Zeng, Guorui Zhou, Kun Gai
• Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao
• STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
• InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning Zheng Wang, Teo Shu Xian, Jun Jie Chew, Wei Shi
• Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang
• Beyond General Alignment: Fine-Grained Entity-Centric Image-Text Matching with Multimodal Attentive Experts Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong, Yujiao Wu, Meng Wang
• Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential Recommendation Wei Wang, Yujie Lin, Moyan Zhang, Lu Hongyu, Jianli Zhao, Jie Sun, Xianye Ben, Pengjie Ren, Yujun Li
• GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin
• ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models Chao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang
• MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
• Intent Representation Learning with Large Language Model for Recommendation Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang
• Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models Ke Wang, Ji Zhang, Kuan Liu
• Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression Haosen Wang, Chenglong Shi, Can Xu, Surong Yan, Rong Xie, Pan Tang
• Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
• SAFT: Structure-aware Transformers for Textual Interaction Classification Hongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu
• DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
• Designing Search Engine Result Pages for Immersive Virtual Reality: Insights from Eye-Tracking and User Perception Data Austin Ward, Bogeum Choi, Robert Capra
• MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems Yibiao Wei, Jie Zou, Weikang Guo, Guoqing Wang, Xing Xu, Yang Yang
• Dynamic Graph Modeling with Contextual and Temporal Relevance Yuxia Wu, Lizi Liao, Yuan Fang
• Constrained Auto-Regressive Decoding Constrains Generative Retrieval Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren
• Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
• Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model Yu Xia, Rui Zhong, Hao Gu, Wei Yang, Chi Lu, Peng Jiang, Kun Gai
• An Empirical Study of Evaluating Long-form Question Answering Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo
• AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph Reasoning Zhiwen Xie, Zhao Zhuo, Jinjin Ma, Guangyou Zhou, Jimmy Xiangji Huang
• A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System Chao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo
• Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu
• Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics Chen Xu, Jujia Zhao, Wang Wenjie, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke
• COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith Ngai
• Multi-scenario Instance Embedding Learning for Deep Recommender Systems Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
• Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing Diji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang
• From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph Embedding Jing Yang, Xinfa Jiang, Xiaowen Jiang, Yuan Gao, Laurence T. Yang, Shaojun Zou, Shundong Yang
• Comprehensive List Generation for Multi-Generator Reranking Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai
• Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
• LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
• Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems Hyunsik Yoo, Seongku Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong
• FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization Mingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang, Xue Li, Lei Meng
• LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang
• Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang
• Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training Yuanzhao Zhai, Huanxi Liu, Zhuo Zhang, Tong Lin, Kele Xu, Cheng Yang, Dawei Feng, Bo Ding, Huaimin Wang
• Towards Better Evaluating Multi-query Sessions: A Measure Based on the Theory of Planned Behavior Wenbo Zhang, Fan Zhang, Jia Chen, Wei Lu
• Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering Yu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang
• Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
• UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive Edges Min Zhang, Weiren Yu
• Hybrid Advertising in the Sponsored Search Zhen Zhang, Weian Li, Yuhan Wang, Qi Qi, Kun Huang
• Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
• Highly Efficient Disk-based Nearest Neighbor Search on Extended Neighborhood Graph Cheng Zhang, Jianzhi Wang, Wan-Lei Zhao, Shihai Xiao
• Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi
• Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs Taiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan
• CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass Bowen Zhang, Zixin Song, Chunping Li
• DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward Yi Zhang, Ruihong Qiu, Xuwei Xu, Jiajun Liu, Sen Wang
• Ask and Retrieve Knowledge: Towards Proactive Asking with Imperfect Information in Medical Multi-turn Dialogues Bolin Zhang, Shengwei Wang, Yangqin Jiang, Dianbo Sui, Zhiying Tu, Dianhui Chu
• Modeling Social Behavior in Collaborative Filtering Yihong Zhang, Takahiro Hara
• PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage Wenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang
• Fair Recommendation with Biased-Limited Sensitive Attribute Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng
• Multi-level Encoding with Hierarchical Alignment for Sketch-Based 3D Shape Retrieval Donglin Zhang, Changxing Li, Xiao-Jun Wu
• Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
• Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin
• Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen
• How Cohesive Are Community Search Results on Online Social Networks?: An Experimental Evaluation Yining Zhao, Sourav S Bhowmick, Nastassja L. Fischer, Shen-Hsing Annabel Chen
• Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu
• HCDS: Hierarchical Clustering for Cold-Start Few-Shot Data Selection Yuhua Zhao, Mengting Hu, Xunzhi Wang, Zhixin Han, Bitong Luo, Hang Gao, Minlie Huang
• Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems Xuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang
• Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li
• Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li
• CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao
• μDS: Multi-Objective Data Snippet Extraction for Dataset Search Xiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng
• Disentangled Graph Debiasing for Next POI Recommendation Hailun Zhou, Jiajie Xu, Qiaoming Zhu, Chengfei Liu
• Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
• OmniNER2025: Diverse and Comprehensive Fine-Grained NER Dataset and Benchmark for Chinese Yong Zhou, Shuaipeng Liu, Yunqing Li, Mengting Hu, Wen Dai, Xiaowei Zhao, Xiujuan Xu
• Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
• Brain Image Reconstruction with Retrieval-Augmented Diffusion Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu
• Two-stage Adversarial Training for Deep Hashing via Representation Distillation Fei Zhu, Huashan Chen, Wanqian Zhang, Lin Wang, Zheng Lin, Bo Li
• Adaptive user Dynamic Interest Guidance for Generative Sequential Recommendation Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang
• Pixel Poisoning Attack Vulnerabilities of Vision-Language Model Retrievers Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
• InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Wang Zixu, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
• Towards Lossless Token Pruning in Late-Interaction Retrieval Models Yuxuan Zong, Benjamin Piwowarski

short papers

• LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada
• In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification Daria Alexander, Arjen P. de Vries
• A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment Negar Arabzadeh, Charles Clarke
• VAP3: Variation-Aware Prompt Performance Prediction Negar Arabzadeh, Ebrahim Bagheri
• Measuring the Fairness Gap Between Retrieval and Generation in RAG Systems using a Cognitive Complexity Framework Sandeep Avula, Chia-Jung Lee, Rongting Zhang, Vanessa Murdock
• Refining Fidelity Metrics for Explainable Recommendations Mikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron Allerhand, Oren Barkan, Noam Koenigstein
• Automatic Document Editing for Improved Ranking Niv Bardas, Tommy Mordo, Oren Kurland, Moshe Tennenholtz
• Augmenting Cross-Modal Art Retrieval: The Role of MLLM-Synthesized Captions Aidan Bell, James Gore, Behrooz Mansouri
• Multilingual Evaluation of Main Content Extractors for Web Pages Aurélien Bournonville, François Rioult, Fabrice Maurel, Gaël Dias, Guillaume Pitel, Thomas Largillier, Emmanuel Marchand
• Investigating Task Arithmetic for Zero-Shot Information Retrieval Marco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi
• Interest Changes: Considering User Interest Life Cycle in Recommendation System Yinjiang Cai, Jiangpan Hou, Yangping Zhu, Nie Yuan
• Dynamic Superblock Pruning for Fast Learned Sparse Retrieval Parker Carlson, Wentai Xie, Shanxiu He, Tao Yang
• Generating Effective Health-Related Queries for Promoting Reliable Search Results Xiana Carrera, Marcos Fernández Pichel, David E. Losada
• Lost in Transliteration: Bridging the Script Gap in Neural IR Andreas Chari, Iadh Ounis, Sean MacAvaney
• Retrieving the Right Law: Enhancing Legal Search with Style Translation Szu-Ju Chen, Jing Jin, Sheng-Lun Wei, Chien-Hung Chen, Hsin-Hsi Chen
• Dynamic Margin-based Contrastive Learning for Robust Negative Sampling in Information Retrieval Tsai-Tsung Chen, Chuan-Ju Wang, Ming-Feng Tsai
• Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng
• Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction Wei Chen, Jiao Li, Jian Lang, Zhangtao Cheng, Yong Wang, Fan Zhou
• Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization Joao Coelho, Bruno Martins, Joao Magalhaes, Chenyan Xiong
• Graph-Based Multimodal Contrastive Learning for Chart Question Answering Yue Dai, Soyeon Caren Han, Wei Liu
• In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Susmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli
• HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
• LLM-Driven Usefulness Labeling for IR Evaluation Mouly Dewan, Jiqun Liu, Chirag Shah
• RSGEA: Relationship Structure Line Graph for Semi-supervised Entity Alignment based on Edge Weight Adjustment Linlin Ding, Mengjunyao Si, Mo Li
• ELEC: Efficient Large Language Model-empowered Click-Through Rate Prediction Rui Dong, Wentao Ouyang, Xiangzheng Liu
• A Comparative Study of Large Language Models and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro
• Evaluating Multi-Dimensional Cumulated Utility in Information Retrieval Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Järvelin
• Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality Naihe Feng, Yi Sui, Shiyi Hou, Jesse Cresswell, Ga Wu
• RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation William Fleshman, Benjamin Van Durme
• Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen
• Fast and Effective Early Termination for Simple Ranking Functions Jinrui Gou, Antonio Mallia, Yifan Liu, Minghao Shao, Torsten Suel
• Low-Cost Document Retrieval with Dense Pseudo-Query Encoding Shanxiu He, Wentai Xie, Yifan Qiao, Parker Carlson, Tao Yang
• Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data Jiaman He, Zikang Leng, Dana McKay, Johanne R Trippas, Damiano Spina
• Large Models are Good Annotators for Zero-Shot Learning Qingzhi He, Yizhen Jia, Wentong Li, Shengcai Liao, Rong Quan, Tong Cui, Jie Qin
• Axiomatic Re-Ranking for Argument Retrieval Maximilian Heinrich, Marvin Vogel, Alexander Bondarenko, Matthias Hagen, Benno Stein
• Score-Fitted Indexes and Constant Length Indexes for Information Retrieval Djoerd Hiemstra
• Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark Ruida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao
• Training-free Periodic Interest Augmentation in Incremental Recommendation Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang
• Counterfactual Model Selection in Contextual Bandits Shion Ishikawa, Young-joo Chung, Yun-Ching Liu, Yu Hirate
• GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation Junzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao
• HAETAE: In-domain Table Pretraining with Header Anchoring Woojun Jung, Susik Yoon
• Exploring the Role of Diversity in Example Selection for In-Context Learning Janak Kapuriya, Manit Kaushik, Debasis Ganguly, Sumit Bhatia
• Evaluating LLMs’ (In)ability to Follow Prompts in QA Tasks Aparup Khatua, Tobias Kalmbach, Prasenjit Mitra, Sandipan Sikdar
• KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking Juyeon Kim, Geon Lee, Taeuk Kim, Kijung Shin
• Conversational Argument Search Under Selective Exposure: Strategies for Balanced Perspective Access Kyusik Kim, Jeongwoo Ryu, Dongseok Heo, Hyungwoo Song, Changhoon Oh, Bongwon Suh
• ReCDAP: Relation-based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph Completion Jeongho Kim, Chanyeong Heo, Jaehee Jung
• Evaluating Contrastive Feedback for Effective User Simulations Andreas Kruff, Timo Breuer, Philipp Schaer
• Augmented Generation: A Nugget-Based Approach Weronika Lajewska, Krisztian Balog
• Generate-Distill: Training Cross-Language IR Models with Synthetically-Generated Data Dawn Lawrie, Efsun Kayi, Eugene Yang, James Mayfield, Douglas Oard, Scott Miller
• SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation System Namjun Lee, Jaekwang Kim
• Towards Principled Learning for Re-ranking in Recommender Systems Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong
• Are Information Retrieval Approaches Good at Harmonising Longitudinal Surveys in Social Science? Wing Yan Li, Zeqiang Wang, Jon Johnson, Suparna De
• Graph-Augmented Retrieval with Memory-Driven Reasoning and Constraint-Aware Filtering for MultiHop QA Siyuan Li, Yongping Du, Mingyang Li
• SMMR: Sampling-Based MMR Reranking for Faster, More Diverse, and Balanced Recommendations and Retrieval Kiryl Liakhnovich, Oleg Lashinin, Andrei Babkin, Michael Pechatov, Marina Ananyeva
• Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank Zeyan Liang, Graham McDonald, Iadh Ounis
• Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line Graphs Hongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu
• Multi-Interest Matching for Personalized News Recommendation with Large Language Models Hongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu
• AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
• Unbiased Collaborative Filtering with Fair Sampling Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
• Improving LLM-powered Recommendations with Personalized Information Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu
• NAM: A Normalization Attention Model for Personalized Product Search In Fliggy Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang
• Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval Qingqing Long, Haixin Wang, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo
• Dual Debiasing in LLM-based Recommendation Sijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu
• PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
• Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems Jack McKechnie, Graham McDonald, Craig Macdonald
• Efficient Conversational Search via Topical Locality in Dense Retrieval Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti, Cosimo Rulli
• Effective Inference-Free Retrieval for Learned Sparse Representations Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates
• Understanding Audio-Text Retrieval Through Singular Value Decomposition Yoori Oh, Yoseob Han, Joonhyeon Bae, Jaeheon Sim, Kyogu Lee
• Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation David Otero, Javier Parapar, Alvaro Barreiro
• Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M Dario Di Palma, Felice Antonio Merra, Maurizio Sfilio, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia
• Hierarchical User Long-term Behavior Modeling for Click-Through Rate Prediction Mao Pan, Xuanhua Yang, Nan Qiao, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu
• LLM as User Simulator: Towards Training News Recommender without Real User Interactions Choongwon Park
• The Effects of Demographic Instructions on LLM Personas Angel Felipe Magnossão de Paula, Shane Culpepper, Alistair Moffat, Sachin Pathiyan Cherumanal, Falk Scholer, Johanne R Trippas
• Towards Best Practices of Axiomatic Activation Patching in Information Retrieval Gregory Polyakov, Catherine Chen, Carsten Eickhoff
• An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-doc Aldo Porco, Dhruv Mehra, Igor Malioutov, Karthik Radhakrishnan, Moniba Keymanesh, Daniel Preotiuc-Pietro, Sean MacAvaney, Pengxiang Cheng
• Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations Guilherme Ramos, Ludovico Boratto, Mirko Marras
• Text Obsoleteness Detection using Large Language Models Rishav Ranaut, Sriparna Saha, Adam Jatowt, Manish Gupta
• A Large-Scale Study of Reranker Relevance Feedback at Inference Revanth Gangi Reddy, Pradeep Dasigi, Md Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi
• Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval Arthur Satouf, Gabriel Ben Zenou, Benjamin Piwowarski, Habiboulaye Amadou Boubacar, Pablo Piantanida
• Permutation-Invariant Transformers for Attribute Embeddings in Information Retrieval Ernest Kirubakaran Selvaraj, Akshay Shah, Shubham Agrawal, Riya Hedaoo, Samira Golsefid
• Bias-Aware Curriculum Sampling For Fair Ranking Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri
• Exploring $\ell_0$ Sparsification for Inference-free Sparse Retrievers Xinjie Shen, Zhichao Geng, Yang Yang
• Reinforcement Learning for Effective Few-Shot Ranking Shiva Soleimany, Sajad Ebrahimi, Shirin Seyedsalehi, Fattane Zarrinkalam, Ebrahim Bagheri
• LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction Xin Song, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
• Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition Mengxiao Song, Tianyun Liu, Wenyuan Zhang, Quangang Li, Tingwen Liu
• Bridging Time Gaps: Temporal Logic Relations for Enhancing Temporal Reasoning in Large Language Models Xintong Song, Bin Liang, Yang Sun, Chenhua Zhang, Bingbing Wang, Ruifeng Xu
• Bias in Language Models: Interplay of Architecture and Data? Mozhgan Talebpour, Yunfei Long, Alba García Seco De Herrera, Shoaib Jameel
• Assessing Faithfulness in RAG: A Large-Scale Comparative Study of LLM and Human Evaluations Nandan Thakur, Ronak Pradeep, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin
• Translative Neural Team Recommendation: From Multilabel Classification to Sequence Prediction Kap Thang, Hawre Hosseini, Hossein Fani
• System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages Paul Thomas, Douglas Oard, Eugene Yang, Dawn Lawrie, James Mayfield
• Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval Yong-En Tian, Yu-Chien Tang, Kuang-Da Wang, An-Zi Yen, Wen-Chih Peng
• Meta-Learning for Incomplete Multimodal Sentiment Analysis Geng Tu, Tianhao Wu, Xuan Luo, Xi Zeng, Wenjie Li, Ruifeng Xu
• From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations Robin Ungruh, Alejandro Bellogin, Maria Soledad Pera
• More Than Just A Conversation: A Multi-agent Reasoning Graph Knowledge Distillation for Conversational Stance Detection Bingbing Wang, Zhixin Bai, Qianlong Wang, Jingjie Lin, Min Yang, Xi Zeng, Ruifeng Xu
• HTGformer: Heterogeneous Temporal Graph Transformer Yili Wang
• FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences Qiwei Wang, Dandan Lin, Wenqing Lin, Ziming Wu
• Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction Zhuoxing Wei, Qi Liu, Qingchen Xie
• Retrieving Tables via Inter- and Intra-Content Contrastive Representation Learning Jie Wu, Mengshu Hou
• HiLTV: Hierarchical Multi-Distribution Modeling for Lifetime Value Prediction in Online Games Junwei Xu, Aisi Zheng, Ling Ding, Huangbin Zhang, Zhengwei Deng, Qun Yu, Xiao-Ping Zhang
• Fact-Level Calibration and Correction for Long-Form Generations Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
• Interactive Code Information Integrated Programming Knowledge Tracing Xueqiang Zeng, Guangcheng Fu, Haofei Chen, Qiyun Peng, Mingwen Wang
• LLMs for Sparse and Dense Retrieval: A Comparison of the Scaling Behavior of Different Retrieval Paradigms Hansi Zeng, Julian Killingback, Hamed Zamani
• EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition Jian Zhang, Tianqing Zhang, Qi Li, Hongwei Wang
• Exploring Human-Like Thinking in Search Simulations with Large Language Models Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang, Jiaxin Mao
• UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
• Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMs Ruihan Zhu, Bo Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou

resource and repro papers

• Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets Zahra Abbasiantaeb, Simon Lupart, Leif Azzopardi, Jeffrey Dalton, Mohammad Aliannejadi
• CoSRec: A Joint Conversational Search and Recommendation Dataset Marco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo
• FACTors: A New Dataset for Studying the Fact-checking Ecosystem Enes Altuncu, Can Baskent, Sanjay Bhattacherjee, Shujun Li, Dwaipayan Roy
• Benchmarking LLM-based Relevance Judgment Methods Negar Arabzadeh, Charles Clarke
• SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah, Wolfgang Wörndl, Yashar Deldjoo
• Reproducing NevIR: Negation in Neural Information Retrieval Francien Barkhof, Coen van den Elsen, Thijmen Nijdam, Simon Lupart, Mohammad Aliannejadi
• Uncertainty-Aware Multimodal Learning: A Dataset and Framework Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
• Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval Cesare Campagnano, Antonio Mallia, Fabrizio Silvestri
• Inside Out 2: Make Room for New Emotions & LLMs Hrishita Chakrabarti, Diletta Micol Tobia, Monica Landoni, Maria Soledad Pera
• U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang
• Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph Qiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng
• Accelerating Listwise Reranking: Reproducing and Enhancing FIRST Zijian Chen, Ronak Pradeep, Jimmy Lin
• Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions Jia Chen, Qian Dong, Tsinghua University, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu
• NLCTables: A Dataset for Marrying Natural Language Conditions with Table Discovery Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen
• Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah
• WebFAQ: A Multilingual Collection of Natural Q\&A Datasets for Dense Retrieval Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrović and Michael Granitzer
• A Reproducibility Study of Graph-Based Legal Case Retrieval Gregor Donabauer, Udo Kruschwitz
• REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources Björn Engelmann, Fabian Haak, Philipp Schaer, Mani Erfanian Abdoust, Linus Netze, Meik Bittkowski
• Does UMBRELA work on other LLMs? Naghmeh Farzi, Laura Dietz
• WebClasSeg-25: A Dual-Classified Webpage Segmentation Dataset - Integrating Functional and Maturity-Based Analysis Jonathan Gerber, Jasmin Saxer, Kimia Rabishokr, Bruno Kreiner, Andreas Weiler
• Refined Medical Search via Dense Retrieval and User Interaction Reyhaneh Goli, Alistair Moffat, George Buchanan
• An EEG dataset of word-level brain responses for semantic text relevance Vadym Gryshchuk, Michiel Spapé, Maria Maistro, Christina Lioma, Tuukka Ruotsalo
• TIREx Tracker: The Information Retrieval Experiment Tracker Tim Hagen, Maik Fröbe, Jan Heinrich Reimer, Harrisen Scells, Matthias Hagen, Martin Potthast
• A Dataset of Simulated Tip-of-the-Tongue Queries from LLMs and Humans Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra
• Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study Mariya Hendriksen, Shuo Zhang, Ridho Reinanda, Mohamed Yahya, Edgar Meij, Maarten de Rijke
• Doctron: A Web-based Collaborative Annotation Tool for Ground Truth Creation in IR Ornella Irrera, Stefano Marchesin, Farzad Shami, Gianmaria Silvello
• TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages Prachuryya Kaushik, Shivansh Mishra, Ashish Anand
• Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas Runkler, Volker Tresp
• A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages Kayhan Latifzadeh, Jacek Gwizdka, Luis A. Leiva
• A Reproducibility Study of LLM Setwise Reranker with Heapsort Dawn Lawrie, Efsun Kayi, James Mayfield, Eugene Yang, Andrew Yates, Douglas Oard
• RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Maria Bielikova
• Gosling Grows Up at Ten: Retrieval with Learned Dense and Sparse Representations Using Anserini Jimmy Lin, Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong
• PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare Riccardo Lunardi, Michael Soprano, Paolo Coppola, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero
• DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia
• PVC: A Podcast Test Collection with Transcript and Query Variations Watheq Mansour, Shane Culpepper, Joel Mackenzie
• A Flexible Resource for Top-Weighted Comparisons Between Sets and Rankings Alistair Moffat, Joel Mackenzie, Antonio Mallia, Matthias Petri
• IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Cote, Julia Kiseleva
• LEMSS: LLM-Based Platform For Multi-Agent Competitive Search Simulation Tommy Mordo, Tomer Kordonsky, Haya Nachimovsky, Moshe Tennenholtz, Oren Kurland
• Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings Matej Mosnar, Adam Skurla, Branislav Pecher, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Peter Sakalik, Ivan Srba
• Wrong Answers Can Also Be Useful: PlausibleQA — A Large-Scale QA Dataset with Answer Plausibility Scores Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
• WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation Jamshid Mozafari, Florian Gerhold, Adam Jatowt
• Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval Le Nguyen, Preet Jain, Krutik Panchal, Md Tanvirul Alam, Nidhi Rastogi
• Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study Zechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen
• Variations in Relevance Judgments and the Shelf Life of Test Collections Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang
• KIMERA: From Evaluation-as-a-Service to Evaluation-in-the-Cloud Andrea Pasin, Nicola Ferro
• ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions Zhiyuan Peng, Jinming Nian, Alexandre Evfimievski, Yi Fang
• Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion Jakub Podolak, Leon Peric, Mina Janicijevic, Roxana Petcu
• Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates
• Reassessing the Effectiveness of Reinforcement Learning based Recommender Systems for Sequential Recommendation Dilina Chandika Rajapakse, Dietmar Jannach
• RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation Jonathan Ross, Ekaterina Khramtsova, Anton van der Vegt, Bevan Koopman, Guido Zuccon
• Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research Corbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
• ir_explain: A Python Library of Explainable IR Methods Sourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra
• Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal Interventions Oliver Savolainen, Dur E Najaf Amjad, Roxana Petcu
• MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer’s Detection Arezo Shakeri, Mina Farmanbar, Krisztian Balog
• RankLLM: A Python Package for Reranking with LLMs Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, Jimmy Lin
• A Worrying Reproducibility Study of Intent-Aware Recommendation Models Faisal Shehzad, Maurizio Ferrari Dacrema, Dietmar Jannach
• Extending MovieLens-32M to Provide New Evaluation Objectives Mark Smucker, Houmaan Chamani
• JuDGE: Benchmarking Judgment Document Generation for Chinese Law System Weihang Su, Baoqing Yue, Qingyao Ai, Hu YiRan, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu
• Unlearning for Federated Online Learning to Rank: A Reproducibility Study Yiling Tao, Shuyi Wang, Jiaxi Yang, Guido Zuccon
• CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge Armin Toroghi, Willis Guo, Scott Sanner
• Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks Antonios Tragoudaras, Theofanis Aslanidis, Emmanouil Georgios Lionis, Marina Orozco González, Panagiotis Eustratiadis
• LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation Tsinghua University, Yifan Chen, Hu YiRan, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu
• Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection Benjamin Vendeville, Liana Ermakova, Pierre De Loor
• 2D Matryoshka Training for Information Retrieval Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
• Reassessing Large Language Model Boolean Query Generation for Systematic Reviews Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon
• FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke
• Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition Zheng Yao, Shuai Wang, Guido Zuccon
• MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang
• Replication and Exploration of Generative Retrieval over Dynamic Corpora Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren
• SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing Xiaoqing Zhang, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Xiuying Chen, Rui Yan
• PSCon: Product Search Through Conversations Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Shuxi Han, Heli Ma, Zheng Wang, Yang Yang, Heng Tao Shen

demonstration papers

• TINK: Text Information Navigation Kit Dean Alvarez, Chengxiang Zhai
• Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato
• CoachGPT: A Scaffolding-based Academic Writing Assistant Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang
• ClusterChat: Multi-Feature Search for Corpus Exploration Ashish Chouhan, Saifeldin Mandour, Michael Gertz
• Targeted Multi-Modal Passage Search for Molecules and their Synthesis Pathways Abhisek Dey, Nathaniel Stanley, Richard Zanibbi
• Advancing scientific knowledge retrieval and reuse with a novel digital library for reborn articles Hadi Ghaemi, Lauren Snyder, Markus Stocker
• FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System Yuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui
• Navigating Speech Recording Collections with AI-Generated Illustrations Sirina Håland, Trond Karlsen Strøm, Petra Galuščáková
• OnSET: Ontology and Semantic Exploration Toolkit Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck
• A Flexible User Study Platform for Generative Information Retrieval Yidong Liang, Zhijing Wu, Yuchen He, Fengming Liang, Kexin Liu, Jiaxin Mao
• Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality Xueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin
• Artifact Sharing for Information Retrieval Research Sean MacAvaney
• Constructing and Evaluating Declarative RAG Pipelines in PyTerrier Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
• AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs Xinyu Mao, Teerapong Leelanupab, Martin Potthast, Harrisen Scells, Guido Zuccon
• NodeRec+: A Lightweight Framework for Federated Recommender Systems Diarmuid Morgan, Erika Duriakova, Elias Tragos, Neil Hurley, Aonghus Lawlor
• Conversational Bibliographic Search Markus Nilles, Ralf Schenkel
• RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive Explanations Sayantan Polley, Govind Shukla, Pritha Ghosal, Andreas Nürnberger
• ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword Search Radin Hamidi Rad, Amir Khosrojerdi, Ebrahim Bagheri
• InstInfo: A Just-in-Time Literature Recommendation System for Presentations Kevin Ros, Rahul Suresh, Chengxiang Zhai
• MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank Fusion Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders, Tanner Spendlove, Seun Eisape, Arun Reddy, Alexander Martin, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Kayi, Matthew Wiesner, Nolan King, Paul Boegner, Steven Triplett, Thankam Abish, Kenton Murray, Reno Kriz
• Multimodal Search in Chemical Documents and Reactions Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Manrique Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, Nick Jackson, Richard Zanibbi, Jiawei Han, David Bianchi
• Fact Verification in Knowledge Graphs Using LLMs Farzad Shami, Stefano Marchesin, Gianmaria Silvello
• NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System Ruijie Wang, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, Abraham Bernstein
• DeepReport: An AI-assisted Idea Generation System for Scientific Research Yi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou
• Nugget-based Annotation Protocol and Tool For Evaluating Long-form Retrieval-Augmented Generation Eugene Yang, Dawn Lawrie, Hoa Dang, Ian Soboroff, James Mayfield
• ReviewHQ: An API-Based System for Reviewer Assignment and Quality Control in Research Conferences Guido Zuccon

perspectives

• Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation Krisztian Balog, Don Metzler, Zhen Qin
• NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search Sunhao Dai, Wang Wenjie, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
• Toward Holistic Evaluation of Recommender Systems Powered by Generative Models Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian McAuley
• Adaptive Orchestration of Modular Generative Information Access Systems Mohanna Hoveyda, Harrie Oosterhuis, Arjen de Vries, Maarten de Rijke, Faegheh Hasibi
• An Instruction-Response Perspective on Large Language Models in Information Retrieval Tasks Hideo Joho, Joemon Jose
• Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities Yashar Moshfeghi, Niall McGuire
• My System Is As Effective As Yours: Reproducibility, Sustainability, and More Tetsuya Sakai
• From To-do to Ta-da: Transforming Task-Focused IR with Generative AI Chirag Shah, Ryen White
• The Importance of Information Retrieval in Empowering Socially Responsible Consumerism Frans van der Sluis, Leif Azzopardi, Florian Meier
• Information Retrieval for Artificial General Intelligence: A New Perspective of Information Retrieval Research Chengxiang Zhai

low resource papers

• Leveraging Artificial Intelligence-Powered Virtual Assistants for Information Retrieval in Indigenous Agriculture: Insights from Nigeria Olusesan Michael Awoleye, Oluwamayowa Adebisi, Idowu Atoloye, Atanda Oladejo, Abiodun Atoloye, Cornelius Atere, Victoria Tanimonure
• Fair Access to Food Data in Africa: an Approach Based on Retrieval-Augmented Generation Jean Petit Bikim, Charles Njiosseu, Leuna Fienkak, Azanzi Jiomekong, Sören Auer
• Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism Ludovico Boratto, Federica Cena, Mirko Marras, Noemi Mauro, Giacomo Medda
• IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) Approach Hunter Briegel, Maya Pagal, Shane Culpepper
• When Less is Enough: Optimizations for Low-Cost Recommendation Systems Danish Kalim, Deepanshu Hardaha, Shivansh Joshi
• Efficient Approximate Nearest Neighbor Search on a Raspberry Pi Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
• Advancing Chichewa IR Stanley Ndebvu, Reuben Moyo, Catherine Chavula
• Some Things Never Change: Overcoming Persistent Challenges in Children IR Maria Soledad Pera, Theo Huibers, Emiliana Murgia, Monica Landoni
• Towards Enhanced Agricultural Information Access in Kiswahili: Integrating Knowledge Graphs and Retrieval-Augmented Generation Joseph Telemala, Neema Lyimo, Anna Kimaro, Camilius Sanga
• Dense Retrieval for Low Resource languages - the Case of Amharic Language Tilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe

doctoral consortium

• Personalized Conversational Search: Evaluation and Method Zahra Abbasiantaeb
• Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware Actions Maryam Amirizaniani
• From Professional Search to Generative Deep Research Systems: How Can Expert Oversight Improve Search Outcomes? Samy Ateia
• Towards Explainable and Safe Systems for Health Data Eliseo Bao
• Search Efficiency for Score-at-a-Time Retrieval Katelyn Harlan
• Evaluating the Impact of Automated Labeling on Retrieval Instability in Neural IR William Ingram
• Continuous Evaluation in Information Retrieval Across Methods and Time Jüri Keller
• Towards Efficient and Effective Multi-modal Retrieval Watheq Mansour
• The Agent Perspective In LLM-Based Strategic Information Retrieval Ecosystems Tommy Mordo
• Strategic Multi-Agent Dynamics in Competitive IR Haya Nachimovsky
• Enhancing Knowledge Injection in Large Language Models for Efficient and Trustworthy Responses Heydar Soudani

SIRIP/Industry Track

• Insight Agents: An LLM-Based Multi-Agent System for Data Insights Jincheng Bai, Zhenyu Zhang, Jennifer Zhang and Jason Zhu
• GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce Search Wei Bao, Hao Chen, Bang Lin, Tao Zhang and Chengfu Huo
• Data-efficient meta-models for evaluation of context-based questions and answers in LLMs Julia Belikova, Konstantin Polev, Rauf Parchiev and Dmitry Simakov
• Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders Zheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng and Xun Zhou
• ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce Zheng Fang, Donghao Xie, Ming Pang, Chunyuan Yuan, Xue Jiang, Changping Peng, Zhangang Lin and Zheng Luo
• Towards Improving Image Quality in Second-Hand Marketplaces with LLMs Sandra Garcia-Esparza, Victor Codina, Salma Lahbiss, Imène Sediri and Nafi Cissé
• From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com Amritpal Singh Gill, Sannikumar Patel, Péter Varga, Patrick Miller and Sakis Athanasiadis
• Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation Zhen Gong, Zhifang Fang, Hui Lu, Qiwei Chen, Chenbin Zhang, Lin Guan, Yuchao Zheng, Feng Zhang, Xiao Yang and Zuotao Liu
• Retrieval for Semantic People Search Rupesh Gupta, Chujie Zheng and Haojun Li
• Defining & Optimizing Quality of LinkedIn’s Content Search Ali Hooshmand and Rupesh Gupta
• Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User Experience Adeep Hande, Kishorekumar Sundararajan, Sardar Hamidian and Ferhan Ture
• Optimize visual shopping journey with embedding-based retrieval in Pinterest Closeup Junpeng Hou, Wei-Ting Lin, Arkin Dharawat, Jiaxing Qu, Qi Wang, Sai Xiao, Xianxing Zhang and Weiran Li
• Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Ching Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik and Neil Shah
• A System for Triggering Sports Instant Answers on Search Engines Ankith Karat, Atishay Tibrewal, Nishka Kotian, Manan Dang, Ravindra Valluri, Antony Ravi Teja Marineni, Sarthak Sahni, Rhea Sundaresan, Ankit Kumar, Aditya Mehndiratta, Sunil Shah, Arun D Poondi, Chandra Bhushan, Subhasis Panigrahi and Manish Gupta
• IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval Youngjune Lee, Haeyu Jeong, Changgeon Lim, Jeong Choi, Hongjun Lim, Hangon Kim, Jiyoon Kwon and Saehun Kim
• Embedding-based Retrieval in Multi-Modal Content Moderation Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu and Zhixin Zhang
• Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising Zhenhui Liu, Chunyuan Yuan, Ming Pang, Zheng Fang, Li Yuan, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo and Jingping Shao
• Language Model Alignment for Conversational Shopping at Amazon Chen Luo, Dimitri Papadimitriou, Hariharan Muralidharan, Dhineshkumar Ramasubbu, Aakash Kolekar, Wenju Xu, Cong Xu, Anirudh Srinivasan, Mukesh Jain and Qi He
• Graph Isomorphism Network-Based Cohort Modeling in Click-Through Rate Prediction Xuan Ma, Hao Peng, Jia Duan, Zhanhao Ye, Langlang Ye, Zehua Zhang, Jie He, Changping Peng and Zhangang Lin
• A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao Yue Meng, Cheng Guo, Yi Cao, Tong Liu and Bo Zheng
• MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM Chaosheng Dong and Michinari Momma
• PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu and Yao Hu
• Large Scale Deployment of BERT Based Cross Encoder Model for Re-Ranking in Walmart Search Engine Ajit Puthenputhussery, Changsung Kang, Alessandro Magnani, Tian Zhang, Hongwei Shang, Nitin Yadav, Prijith Chandran, Bhavin Madhani, Yuan-Tai Fu, He Wang, Zbigniew Gasiorek, Salvatore Tornatore, Srikanth Dasaka, Vivek Agarwal, Michael Browserox, Cun Mu and Ciya Liao
• Post-event Modeling via Causal Optimal Transport for CTR Prediction Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law and Jingping Shao
• Robust Inverse Retrieval in Online Advertising with Contrastive Learning Phaniram Sayapaneni, Konstantin Shmakov and Sunil Goda
• Retrieval-Augmented Image Captioning and Generation with Entity Concepts Enhancement for Baidu Multimodal Advertising Lei Shen, Kang Zhao, Zhipeng Jin, Wen Tao, Yi Yang, Cong Han, Shuanglong Li, Zhongmin Cai and Lin Liu
• Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu and Linjian Mo
• Progressive Refinement of E-commerce Search Ranking Based on Short-Term Activities of the Buyer Taoran Sheng, Sathappan Muthiah, Atiq Islam and Jinming Feng
• Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce Xianfeng Tang, Jingying Zeng, Samarth Varshney, Zhiji Liu, Hui Liu, Zhenwei Dai, Chen Luo, Zhen Li and Qi He
• SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search Ranking Zihan Xia, Chuanyu Xu, Tao Zhang and Chengfu Huo
• Towards More Relevant Product Search Ranking with Fulfillment Intent Understanding Jingxu Xu, Xinyi Liu, Yang Yu, Semih Yagli, Jingbo Liu and Cun Mu
• Inquiry Assistant Using LLM-Generated Knowledge Graphs István Varga and Yuta Yamashita
• Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media Platforms Min Zhang, Ganlin Song, Fang Zhou, Dong Liang, Jianwei Xiao, Shengyu Huang, Lizhang Qin, Yan Xi, Rong Shi, Xiyuan Chen, Jing Xu, Zhaojun Zhang, Ye Wang, Gautam Srinivasan, Yang Wang, Qianru Li, Mahesh Masale, Zhengyu Zhang, Zeliang Chen, Ellie Wen and Puneet Sharma
• Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment Queries Mengyue Zhao, Matthew Nokleby, Bo Shen, Wenbo Dong, Deepti Pachauri and Andrew Yang
• MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search Qi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu and Linjian Mo

TOIS Papers

• Data Augmentation for Sample Efficient and Robust Document Ranking Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra and Avishek Anand
• Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities Yang Deng, Lizi Liao, Wenqiang Lei, Grace Hui Yang, Wai Lam and Tat-Seng Chua
• Federated Recommender System Based on Diffusion Augmentation and Guided Denoising Yicheng Di, Hongjian Shi, Xiaoming Wang, Ruhui Ma and Yuan Liu
• Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant Alexander Frummet, Alessandro Speggiorin, David Elsweiler, Anton Leuski and Jeff Dalton
• A Knowledge Graph Embedding Model for Answering Factoid Entity Questions Parastoo Jafarzadeh, Faezeh Ensan, Mahdiyar Ali Akbar Alavi and Fattane Zarrinkalam
• Explaining Recommendation Fairness from a User/Item Perspective Jie Li, Yongli Ren, Mark Sanderson and Ke Deng
• Generalized Weak Supervision for Neural Information Retrieval Yen-Chieh Lien, Hamed Zamani and Bruce Croft
• An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinygu Zhang and Zhao Cao
• Structure-Aware Conversational Legal Case Retrieval Bulou Liu, Yiran Hu, Qingyao Ai, Yueyue Wu, Yiqun Liu, Chenliang Li, Fan Zhang, Weixing Shen, Chong Chen and Qi Tian
• CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models Zirui Liu, Hailin Zhang, Boxuan Chen, Zihan Jiang, Yikai Zhao, Yangyu Tao, Tong Yang and Bin Cui
• Automated Disentangled Sequential Recommendation with Large Language Models Xin Wang, Hong Chen, Zirui Pan, Yuwei Zhou, Chaoyu Guan, Lifeng Sun and Wenwu Zhu
• Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction Zihan Wang, Hanbing Wang, Pengjie Ren, Zhumin Chen, Maarten de Rijke and Zhaochun Ren
• LTP-MMF: Towards Long-Term Provider Max-Min Fairness Under Recommendation Feedback Loops Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen and Ji-Rong Wen
• The In-Situ Effect of Offensive Ads on Search Engine Users Elad Yom-Tov and Liat Levontin
• Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation Xiaoyu Zhang, Shaoyun Shi, Yishan Li, Weizhi Ma, Peijie Sun and Min Zhang
• Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling Jie Zou, Aixin Sun, Cheng Long and Evangelos Kanoulas