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SIGIR 2025: all accepted papers

540 papers · page 1 of 6 · the most cited first · ← SIGIR 2025

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  1. Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation ↗Yuanpeng Qu, Hajime Nobuhara26 citations
  2. Parametric Retrieval Augmented Generation ↗Weihang Su, Yichen Tang, Qingyao Ai et al.25 citations
  3. Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation ↗Krisztian Balog, Donald Metzler, Zhen Qin23 citations
  4. Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering ↗Yu Zhang, Yiwen Zhang, Yi Jun Zhang et al.23 citations
  5. COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation ↗Jinfeng Xu, Zheyu Chen, Wei Wang et al.22 citations
  6. Theory and Toolkits for User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation ↗Krisztian Balog, Nolwenn Bernard, Saber Zerhoudi et al.22 citations
  7. Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation ↗Qidong Liu, Xiangyu Zhao, Yejing Wang et al.21 citations
  8. Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising ↗Xiaoxi Cui, Weihai Lu, Yu Tong et al.21 citations
  9. LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation ↗Haitao Li, Yifan Chen, Yiran Hu et al.20 citations
  10. The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News ↗Yuhan Liu, Yuxuan Liu, Xiaoqing Zhang et al.20 citations
  11. Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M ↗Dario Di Palma, Felice Antonio Merra, Maurizio Sfilio et al.18 citations
  12. Intent Representation Learning with Large Language Model for Recommendation ↗Yu Wang, Lei Sang, Yi Jun Zhang et al.18 citations
  13. Improving LLM-powered Recommendations with Personalized Information ↗Jiahao Liu, Xueshuo Yan, Dongsheng Li et al.17 citations
  14. Comprehending Knowledge Graphs with Large Language Models for Recommender Systems ↗Ziqiang Cui, Yunpeng Weng, Xing Jia Tang et al.16 citations
  15. Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering ↗Zheyu Chen, Jinfeng Xu, Yutong Wei et al.16 citations
  16. Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction ↗Xiaoxi Cui, Weihai Lu, Yu Tong et al.15 citations
  17. Hypercomplex Knowledge Graph-Aware Recommendation ↗Anchen Li, Bo Xiong Yang, Huan Huo et al.15 citations
  18. Order-agnostic Identifier for Large Language Model-based Generative Recommendation ↗Xinyu Lin, H. C. Shi, Wenjie Wang et al.15 citations
  19. Scaling Sparse and Dense Retrieval in Decoder-Only LLMs ↗Hansi Zeng, Julian Killingback, Hamed Zamani15 citations
  20. Agentic Feedback Loop Modeling Improves Recommendation and User Simulation ↗Shihao Cai, Jizhi Zhang, Keqin Bao et al.14 citations
  21. Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation ↗Jieyong Kim, Hyunseo Kim, Hyunjin Cho et al.14 citations
  22. The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models ↗Ronak Pradeep, Nandan Thakur, Shivani Upadhyay et al.14 citations
  23. Toward Holistic Evaluation of Recommender Systems Powered by Generative Models ↗Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy et al.14 citations
  24. MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems ↗Yibiao Wei, Jie Zou, Weikang Guo et al.13 citations
  25. A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment ↗Negar Arabzadeh, Charles L. A. Clarke12 citations
  26. Conversational Gold: Evaluating Personalized Conversational Search System Using Gold Nuggets ↗Zahra Abbasiantaeb, Simon Lupart, Leif A. Azzopardi et al.12 citations
  27. Generative Recommender with End-to-End Learnable Item Tokenization ↗Enze Liu, Bowen Zheng, Cheng Ling et al.12 citations
  28. Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing ↗Diji Yang, Linda Zeng, Jinmeng Rao et al.12 citations
  29. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation ↗Maolin Wang, Sheng Zhang, Ruocheng Guo et al.12 citations
  30. AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations ↗Jiahao Liu, Shengkang Gu, Dongsheng Li et al.11 citations
  31. Benchmarking LLM-based Relevance Judgment Methods ↗Negar Arabzadeh, Charles L. A. Clarke11 citations
  32. Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation ↗Guojia An, Jie Zou, Jiwei Wei et al.11 citations
  33. Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation ↗Yizhou Dang, Yuting Liu, Enneng Yang et al.11 citations
  34. FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation ↗Mingzhe Han, Dongsheng Li, Jiafeng Xia et al.11 citations
  35. JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System ↗Weihang Su, Baoqing Yue, Qingyao Ai et al.11 citations
  36. LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help? ↗Rikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai et al.11 citations
  37. Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation ↗Teng Shi, Jun Xu, Xiao Zhang et al.11 citations
  38. AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings ↗Guoqing Hu, An Zhang, Shuo Liu et al.10 citations
  39. Dynamic and Parametric Retrieval-Augmented Generation ↗Weihang Su, Qingyao Ai, Jingtao Zhan et al.10 citations
  40. Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning ↗Yonghui Yang, Le Wu, Yuxin Liao et al.10 citations
  41. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation ↗Chenglong Ma, Ziqi Xu, Yongli Ren et al.10 citations
  42. RankLLM: A Python Package for Reranking with LLMs ↗Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu et al.10 citations
  43. A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking ↗Henrik Brådland, Morten Goodwin, Per‐Arne Andersen et al.9 citations
  44. A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive Adaptation ↗Weikang He, Yunpeng Xiao, Mengyang Huang et al.9 citations
  45. Are Generative AI Agents Effective Personalized Financial Advisors? ↗Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado et al.9 citations
  46. Bridging the Gap: From Ad-hoc to Proactive Search in Conversations ↗Chuan Meng, Francesco Tonolini, Fengran Mo et al.9 citations
  47. CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs ↗Yuntong Hu, Zhihan Lei, Zhongjie Dai et al.9 citations
  48. Dynamic Superblock Pruning for Fast Learned Sparse Retrieval ↗Parker Carlson, Wentai Xie, Shanxiu He et al.9 citations
  49. Efficient Re-ranking with Cross-encoders via Early Exit ↗Francesco Busolin, Claudio Lucchese, Franco Maria Nardini et al.9 citations
  50. FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization ↗Mingzhe Yu, Yunshan Ma, Lei Wu et al.9 citations
  51. Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval ↗Hao Liu, Yupeng Hu, Kun Wang et al.9 citations
  52. How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search Experience ↗Yidong Liang, Zhijing Wu, Fan Zhang et al.9 citations
  53. Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models ↗Yuhao Wang, Junwei Pan, Pengyue Jia et al.9 citations
  54. Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects ↗Y. L. Tu, Weihang Su, Yujia Zhou et al.9 citations
  55. Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction ↗Chunyuan Zheng, Hang Pan, Yang Zhang et al.8 citations
  56. Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing ↗Zecheng Zhao, Zhi Chen, Zi Helen Huang et al.8 citations
  57. Conversational Search: From Fundamentals to Frontiers in the LLM Era ↗Fengran Mo, Chuan Meng, Mohammad Aliannejadi et al.8 citations
  58. Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios ↗Jiwan Kim, Hongseok Kang, Sein Kim et al.8 citations
  59. Enhancing New-item Fairness in Dynamic Recommender Systems ↗Huizhong Guo, Zhu Sun, Dongxia Wang et al.8 citations
  60. Generative Auto-Bidding with Value-Guided Explorations ↗Jingtong Gao, Yewen Li, Shuai Mao et al.8 citations
  61. MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation ↗Qinhan Yu, Zhiyou Xiao, Binghui Li et al.8 citations
  62. Queries Are Not Alone: Clustering Text Embeddings for Video Search ↗Peiyang Liu, Xi Wang, Ziqiang Cui et al.8 citations
  63. TIREx Tracker: The Information Retrieval Experiment Tracker ↗Tim Hagen, Maik Fröbe, Jan Heinrich Reimer et al.8 citations
  64. Towards Interest Drift-driven User Representation Learning in Sequential Recommendation ↗X Z Lin, Weike Pan, Zhong Ming8 citations
  65. WARP: An Efficient Engine for Multi-Vector Retrieval ↗Jan Luca Scheerer, Matei Zaharia, Christopher E. Potts et al.8 citations
  66. Adaptive Orchestration of Modular Generative Information Access Systems ↗Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries et al.7 citations
  67. CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation ↗Hanyu Li, Jiayu Li, Weizhi Ma et al.7 citations
  68. CSRec: Rethinking Sequential Recommendation from A Causal Perspective. ↗Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou et al.7 citations
  69. DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search ↗Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas7 citations
  70. Effective Inference-Free Retrieval for Learned Sparse Representations ↗Franco Maria Nardini, Thong Duy-Minh Nguyen, Cosimo Rulli et al.7 citations
  71. Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems ↗Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu et al.7 citations
  72. FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation ↗Guoquan Wang, Qiang Luo, Weisong Hu et al.7 citations
  73. Fact Verification in Knowledge Graphs Using LLMs ↗Farzad Shami, Stefano Marchesin, Gianmaria Silvello7 citations
  74. GINGER: Grounded Information Nugget-Based Generation of Responses ↗Weronika Łajewska, Krisztian Balog7 citations
  75. HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation ↗Hao Deng, Haibo Xing, Kanefumi Matsuyama et al.7 citations
  76. Hypencoder: Hypernetworks for Information Retrieval ↗Julian Killingback, Hansi Zeng, Hamed Zamani7 citations
  77. LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation ↗Beizhe Hu, Qiang Sheng, Juan Cao et al.7 citations
  78. Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors ↗Maik Fröbe, Andrew Parry, Ferdinand Schlatt et al.7 citations
  79. PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval ↗Zihan Niu, Zheyong Xie, Shaosheng Cao et al.7 citations
  80. Process-Supervised LLM Recommenders via Flow-guided Tuning ↗Chongming Gao, Ming Gao, Chenxiao Fan et al.7 citations
  81. ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models ↗Chao Wang, Hehe Fan, Ruijie Quan et al.7 citations
  82. Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions ↗Jia Chen, Qian Dong, Haitao Li et al.7 citations
  83. Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection ↗Benjamin Vendeville, Ермакова Лиана Магдановна, Pierre De Loor7 citations
  84. Some Things Never Change: Overcoming Persistent Challenges in Children IR ↗Maria Soledad Pera, Theo W. C. Huibers, Emiliana Murgia et al.7 citations
  85. SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders ↗Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah et al.7 citations
  86. The Viability of Crowdsourcing for RAG Evaluation ↗Lukas Gienapp, Tim Hagen, Maik Fröbe et al.7 citations
  87. Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation ↗Yi Jun Zhang, Yiwen Zhang, Yu Wang et al.7 citations
  88. Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations ↗Zhuo Cai, Shoujin Wang, Victor W. Chu et al.7 citations
  89. A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security Profiles ↗Yongxin Cai, Jing Qiu, Fan Zhang et al.6 citations
  90. Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators ↗Hengyu Zhang, Chunxu Shen, Xiangguo Sun et al.6 citations
  91. Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations ↗Nandan Thakur, Ronak Pradeep, Shivani Upadhyay et al.6 citations
  92. BM25 and all that — a look back ↗Stephen E. Robertson6 citations
  93. Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation ↗Anfu Tang, Laure Soulier, Vincent Guigue6 citations
  94. CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language ↗Lin Zhong, Lingzhi Wang, Xu Yang et al.6 citations
  95. CoachGPT: A Scaffolding-based Academic Writing Assistant ↗F.L. Chen, Sotheara Veng, Joshua Wilson et al.6 citations
  96. Constructing and Evaluating Declarative RAG Pipelines in PyTerrier ↗Craig Macdonald, Jinyuan Fang, Andrew Parry et al.6 citations
  97. D ata R ec : A Python Library for Standardized and Reproducible Data Management in Recommender Systems ↗Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio et al.6 citations
  98. DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation ↗H. J. Kim, Minjin Choi, Sunkyung Lee et al.6 citations
  99. Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval ↗Zijun Long, Kangheng Liang, Gerardo Aragón-Camarasa et al.6 citations
  100. Disentangled Graph Debiasing for Next POI Recommendation ↗Hailun Zhou, Jiajie Xu, Qiaoming Zhu et al.6 citations

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