ACM International Conference on Research and Development in Information Retrieval
SIGIR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
20.1% (2024 full papers)
Fields of research
Data Management and Data Science
Papers indexed
8,311
1971–2026
Papers per year
1971685 peak2026
Most published authors
SIGIR papers
8,311 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2026 | Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation. | Yuanzi Li, Lingjie Wang, Jingyu Zhao, Zihang Tian, Yuhan Wang, Lei Wang, Xu Chen |
| 2026 | Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale. | Xin Liu, Ruqing Zhang, Yu-An Liu, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | SynthIR: The First Workshop on Synthetic Content in Information Retrieval Ecosystems. | Ping Liu, Zhedong Zheng, Shane Culpepper, Xin Yu |
| 2026 | Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation. | Peiyang Liu, Qiang Yan, Ziqiang Cui, Di Liang, Xi Wang, Wei Ye |
| 2026 | Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educational Video Understanding. | Cheng Liu, Yiping Wang, Quanlong Guan, Chaobo He, Xingyu Zhu, Liangda Fang |
| 2026 | Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. | Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li |
| 2026 | SAER: Scalable Assessment of E-commerce Recommendations using Large Language Models. | Xiang Liu, Manoj Srivatsav Regulagedda, Sapan Patel, Walter Wong |
| 2026 | Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation. | Yuwen Liu, Lianyong Qi, Xucheng Zhou, Xingyuan Mao, Weiming Liu, Shuang Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wanchun Dou |
| 2026 | LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training. | Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Pengyue Jia, Tong Xu, Wei Huang, Chong Chen, Xiangyu Zhao |
| 2026 | SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling. | Zikun Liu, Liang Luo, Qianru Li, Zhengyu Zhang, Wei Ling, Jingyi Shen, Zeliang Chen, Yaning Huang, Jingxian Huang, Abdallah Aboelela, Chonglin Sun, Feifan Gu, Fenggang Wu, Hang Qu, Huayu Li, Jill Pan, Kaidi Pei, Laming Chen, Longhao Jin, Qin Huang, Tongyi Tang, Varna Puvvada, Wenlin Chen, Xiaohan Wei, Xu Cao, Yantao Yao, Yuan Jin, Yunchen Pu, Yuxin Chen, Zijian Shen, Zhengkai Zhang, Dong Liang, Ellie Wen |
| 2026 | Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation. | Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Ruichen Yao, Yang Zhang, Dong Wang |
| 2026 | SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support. | Xingyan Liu, Xiyue Luo, Linyu Li, Ganghong Huang, Jianfeng Liu, Honglin Qiao |
| 2026 | Towards Knowledgeable Deep Research: Framework and Benchmark. | Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng |
| 2026 | WPGRec: Wavelet Packet Guided Graph Enhanced Sequential Recommendation. | Peilin Liu, Zhiquan Ji, Gang Yan |
| 2026 | Enhancing Multi-Valued Treatment Uplift Modeling with Knowledge Sharing and RCT Data. | Jiaxiang Liu, Luo He, Zhenghao Zeng, Deqiang Kong, Funan Mu, Jiaming Zhang, Zilong Lu, Peng Jiang, Hongyan Liu |
| 2026 | From Interference to Stability: Adversarial Reliability Correction for Video Moment Retrieval with Relevance Feedback. | Hao Liu, Yupeng Hu, Kun Wang, Junchao Wang, Ruping Cao, Yutao Yao, Zilu Cai |
| 2026 | Fast and Faithful: Real-Time Verification for Long-Document Retrieval-Augmented Generation Systems. | Xunzhuo Liu, Bowei He, Xue Liu, Haichen Zhang, Huamin Chen |
| 2026 | Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation. | Peiyang Liu, Ziqiang Cui, Xi Wang, Di Liang, Wei Ye |
| 2026 | MuseKG: An Interactive Knowledge Graph Over Museum Collections. | Jinhao Li, Jianzhong Qi, Soyeon Caren Han, Eun-Jung Holden |
| 2026 | Verifiable Reasoning for LLM-based Generative Recommendation. | Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang |
| 2026 | SNBot: Modeling Self-Neighborhood Representation Discrepancy for Social Bot Detection. | Qilong Lin, Jingya Zhou |
| 2026 | Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests. | Yuhan Li, Jiayun Ni, Ao Li, Yue Wang, Seng You Paul Chee, Yongmin Hu, Runze Yu |
| 2026 | LUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels. | I-Fan Lin, Faegheh Hasibi, Suzan Verberne |
| 2026 | Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search. | Gui Ling, Weiyuan Li, Yue Jiang, Wenjun Peng, Xingxian Liu, Dongshuai Li, Fuyu Lv, Dan Ou, Haihong Tang |
| 2026 | Beyond Maintenance: A Benchmark and Multi-Agent Framework for Repository-Usage Code Generation. | Kaitao Lin, Songwen Gong, Adam Jatowt, Jiexin Wang, Yi Cai |
376–400 of 8,311← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases