Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
Comments 10 pages, 6 figures, submitted to SIGIR-AP
期刊&会议
SIGIR
ACM SIGIR Conference on Research and Development in Information Retrieval · 会议 · Information Retrieval
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
机构 * State Key Laboratory of AI Safety（人工智能安全国家重点实验室） ； Institute of Computing Technology（计算技术研究所） ； Chinese Academy of Sciences（中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学）
Comments SIGIR-AP 2025
Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation
Comments Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP 2025), December 7--10, 2025, Xi'an, China
MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations
Comments SIGIR-AP 2025
Beyond Static Evaluation: Rethinking the Assessment of Personalized Agent Adaptability in Information Retrieval
机构 * University of Washington（华盛顿大学） ； University of Tsukuba（筑波大学）
Journal ref Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
Investigating LLM Variability in Personalized Conversational Information Retrieval
机构 * University of Amsterdam（阿姆斯特丹大学）
Comments 11 pages, 5 figures, SIGIR-AP'25 Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP 2025), December 7--10, 2025, Xi'an, China
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
机构 * State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences（人工智能安全国家重点实验室，计算技术研究所，中国科学院）
Comments Accepted at SIGIR-AP 2025
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
机构 * State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences（人工智能安全国家重点实验室，计算技术研究所，中国科学院） ； Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） ； Institute of Computing Technology（计算技术研究所）
Comments Accepted at SIGIR-AP 2025
Synthetic Prefixes to Mitigate Bias in Real-Time Neural Query Autocomplete
机构 * Walmart Global Technology（沃尔玛全球技术）
Comments Accepted to the Proceedings of the ACM SIGIR Asia Pacific Conference on Information Retrieval (SIGIR-AP 2025), December 7-10, 2025, Xi'an, China
Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
机构 * Independent Researcher（独立研究者） ； New York University（纽约大学）
Comments Accepted as a full paper at SIGIR-AP 2025
Combining Evidence and Reasoning for Biomedical Fact-Checking
机构 * University of Naples Federico II（那不勒斯费德里科二世大学） ； Northwestern University（西北大学）
Comments Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
机构 * University of Naples Federico II（那不勒斯费迪里奇二世大学） ； Northwestern University（西北大学）
Journal ref SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
机构 * Temple University（特拉华大学）
Comments ACM SIGIR 2025 Workshop MANILA
Towards End-to-End Model-Agnostic Explanations for RAG Systems
Comments Accepted to Workshop on Explainability in Information Retrieval (WExIR), SIGIR 2025 - July 17, 2025
ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction
Comments SIGIR 2025
BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
机构 * AIRI ； Sber AI ； ISP RAS Research Center for Trusted AI（俄罗斯科学院信息与系统研究所可信人工智能研究中心）
Comments 9 pages, 1 figure, published in "The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)"
Journal ref Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (2025). Association for Computing Machinery, 1152-1164
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering
Comments Accepted at SIGIR 2025
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
机构 * Peking University（北京大学） ； Wuhan University（武汉大学） ； Shanghai University of International Business（上海国际商务大学） ； Microsoft（微软）
Comments SIGIR 2025
Journal ref SIGIR 2025: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval Pages 581 - 591
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction
Comments 5 pages, 1 figures, SIGIR 2025
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
机构 * Gaoling School of Artificial Intelligence Renmin University of China Beijing China（北京中国人民大学 Gallagher 学院） ； School of Statistics Renmin University of China Beijing China（北京中国人民大学统计学院） ； Renmin University of China（北京中国人民大学） ； Tsinghua University（清华大学）
Comments Accepted by SIGIR 2025
Journal ref Zechun Niu et al. 2025. Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. In Proceedings of SIGIR'25 (pp. 3265-3275)
TComQA: Extracting Temporal Commonsense from Text
机构 * Indian Institute of Technology（印度理工学院）
Journal ref IRRAG@SIGIR 2025
The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
机构 * University of Sheffield（谢菲尔德大学）
Comments Accepted for ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR'25)
Efficient Patent Searching Using Graph Transformers
Comments Accepted for publication at the PatentSemTech 2025 workshop, held in conjunction with SIGIR 2025
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
机构 * Aix Marseille Univ, CNRS, LIS（阿维尼翁-马赛大学、国家科学研究中心、LIS）
Comments SIGIR 2025
Journal ref Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2025
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
机构 * L3S Research Center（L3S研究所以） ； Inria Paris-Rocquencourt（Inria巴黎-罗克琴克特研究所） ； Rajiv Gandhi University（拉吉夫·甘地大学） ； Tsinghua University（清华大学） ； Palmer Research Laboratories（帕勒姆研究实验室）
Comments 4 pages, 6 figures. Report for SIGIR 2025 LiveRAG Challenge
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
机构 * Peking University（北京大学） ； Wuhan University（武汉大学） ； Shanghai University of International Business（上海国际商务大学） ； Microsoft（微软公司）
Comments SIGIR 2025
Journal ref SIGIR 2025: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval Pages 1593 - 1602
Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search
机构 * eBay Inc（eBay公司）
Comments Accepted at SIGIR eCom'25. https://sigir-ecom.github.io/eCom25Papers/paper_23.pdf
Analyzing and Mitigating Repetitions in Trip Recommendation
机构 * University of Electronic Science and Technology of China（电子科学与技术大学） ； Hong Kong University of Science and Technology（香港科学与技术大学） ； Intelligent Terminal Key Laboratory of Sichuan Province（四川省智能终端重点实验室）
Comments Accepted by ACM SIGIR 2024 Short Paper Track
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
Comments SIGIR 2025 LiveRAG winning system
Millions of $\text{GeAR}$-s: Extending GraphRAG to Millions of Documents
机构 * Huawei Technologies Co., Ltd.（华为技术有限公司） ； University of Edinburgh（爱丁堡大学）
Comments Accepted by SIGIR 2025 LiveRAG Challenge Program
