| 2026 | Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation. | Yantao Yu, Sen Qiao, Lei Shen, Bing Wang, Xiaoyi Zeng |
| 2026 | When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment. | Chuting Yu, Hang Li, Guido Zuccon, Joel Mackenzie, Teerapong Leelanupab |
| 2026 | SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress. | Yang Yu, Lei Kou, Huaikuan Yi, Bin Chen, Yayu Cao, Lei Shen, Chao Zhang, Bing Wang, Xiaoyi Zeng |
| 2026 | WeatherArchive: A Benchmark for Retrieval-Augmented Reasoning over Historical Weather Archives. | Yongan Yu, Xianda Du, Qingchen Hu, Jiahao Liang, Jingwei Ni, Dan Qiang, Kaiyu Huang, Grant McKenzie, Rene Sieber, Fengran Mo |
| 2026 | mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA. | Xu Yuan, Liangbo Ning, Qingqing Ye, Wenqi Fan, Qing Li |
| 2026 | FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation. | Jaebeom You, Kisung Lee, Hyuk-Yoon Kwon |
| 2026 | LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation. | Hongzhi Yin, Wei Yuan, Yi Zhang, Joel Mackenzie, Quoc Viet Hung Nguyen, Wayne Xin Zhao, Yong Li, Lina Yao |
| 2026 | The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper. | Yu Yin, Shuai Wang, Bevan Koopman, Guido Zuccon |
| 2026 | Exploring and Improving Cross- and Multi-Domain Personalized Question Answering via a Dual Retrieval Augmentation Approach. | Ozel Yilmazel, Hamed Zamani, James Allan |
| 2026 | Visual RAG at Scale: Tile-Level Spatial Pooling for Efficient Multi-Vector Document Retrieval. | Ara Yeroyan |
| 2026 | AIPO: Adaptive Anchored Intent-aware Policy Optimization for Generative Recommendation. | Kun Yao, Congcong Liu, Ziheng Ni, Cai Shang, Wenlong Chen, Changping Peng, Ching Law |
| 2026 | DPEO: Dynamic Preference Evolution Optimization for Self-Evolving CTR Prediction. | Kun Yao, Congcong Liu, Ziheng Ni, Wenlong Chen, Changping Peng, Ching Law |
| 2026 | Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation. | Yuchen Yan, Peiyan Zhang, Zhihua Liu, Hao Wang, Yatao Bian, Weiming Li, Xiaoshuai Hao |
| 2026 | CRED: Calibrated Relational Enhanced Distillation for LLM-Based Pointwise Reranking. | Qingran Yang, Wenxuan Zhang, Yuting Wang, Xue Li, Lanshun Nie |
| 2026 | TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation. | Wei Yang, Rui Zhong, Zihan Lin, Xiaodan Wang, Cheng Chen, Huan Ren, Yao Hu |
| 2026 | GNN-based Anchor Embedding for Efficient Subgraph Retrieval. | Bin Yang, Jianxiong Ye, Zhaonian Zou |
| 2026 | ColBERTSaR: Sparsified ColBERT Index via Product Quantization. | Eugene Yang, Andrew Yates, Dawn J. Lawrie, James Mayfield, Saron Samuel, Rohan Jha |
| 2026 | Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting. | Yaqi Yang, Ziqi Xu, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren |
| 2026 | SCOPE: Scalable Cross-Task Orthogonal Progressive Experts for Multi-Task Learning in Recommendations. | Zixian Yang, Wei Xu, Li Li, Zhaokai Huang, You Li, Jianbin Lin, Wenliang Zhong, Can Ye |
| 2026 | BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models. | Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang |
| 2026 | Coupling Global Context with Kinematic Evolution for Sequential Recommendation. | Yueting Yang, Yao Li, Rongmei Zhao, Shenggen Ju |
| 2026 | Scaling and Stabilizing Large-Scale Embedding-Based Retrieval. | Zhen Yang, Juexin Lin, Hongwei Shang, Kaihao Li, Feng Liu, Satya Chembolu, Xunfan Cai, Xinyi Liu, Cun Mu, Tony Lee, Ciya Liao |
| 2026 | Adaptive Rich-kernelized Contrastive Learning for Capacity Enhancement in Collaborative Filtering. | Jie Yang, Ling Luo, Nestor Cabello, Lars Kulik |
| 2026 | ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment. | Hao Yang, Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zulong Chen, Shuo Wang, Yu Gu, Ge Yu |
| 2026 | Efficient LLM Adaptation for Opinion Knowledge Graph Construction: Lessons from the Telecom Industry. | Nai-Chi Yang, Yu-Ming Hsieh, Wei-Yun Ma, Kuo-Wei Chang |