📰 SIGIR 2025 — accepted papers

SIGIR 2025 is the 2025 edition of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). OpenAlex lists 540 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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

All accepted papers (540)

The most cited first; 1 with our summary link to their page here, the others to the original.

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

See all 540 papers in SIGIR 2025 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Zhongxiang Sun, Qipeng Wang, Weijie Yu, et al.2025 · 22 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧮Reasoning (1)🔍Information retrieval & search (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of International Business and EconomicsBeijing · China1 work here🏢KuaishouBeijing · China1 work here🎓Renmin University of ChinaBeijing · China1 work here

works and citations from OpenAlex and our library.

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