An Optimization Framework for Merging Multiple Result Lists. - Chia-Jung Lee; Qingyao Ai; W. Bruce Croft; Daniel Sheldon (CIKM, 2015)

A Deep Relevance Matching Model for Ad-hoc Retrieval. - Jiafeng Guo; Yixing Fan; Qingyao Ai; W. Bruce Croft (CIKM, 2016)

Semantic Matching by Non-Linear Word Transportation for Information Retrieval. - Jiafeng Guo; Yixing Fan; Qingyao Ai; W. Bruce Croft (CIKM, 2016)

aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. - Liu Yang 005; Qingyao Ai; Jiafeng Guo; W. Bruce Croft (CIKM, 2016)

Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. - Liu Yang 005; Qingyao Ai; Damiano Spina; Ruey-Cheng Chen; Liang Pang; W. Bruce Croft; Jiafeng Guo; Falk Scholer (ECIR, 2016)

Analysis of the Paragraph Vector Model for Information Retrieval. - Qingyao Ai; Liu Yang 005; Jiafeng Guo; W. Bruce Croft (ICTIR, 2016)

Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval. - Qingyao Ai; Liu Yang 005; Jiafeng Guo; W. Bruce Croft (SIGIR, 2016)

Adaptability of Neural Networks on Varying Granularity IR Tasks. - Daniel Cohen; Qingyao Ai; W. Bruce Croft (CoRR, 2016)

Large-Scale Analysis of Email Search and Organizational Strategies. - Kanika Narang; Susan T. Dumais; Nick Craswell; Daniel J. Liebling; Qingyao Ai (CHIIR, 2017)

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. - Yongfeng Zhang; Qingyao Ai; Xu Chen 017; W. Bruce Croft (CIKM, 2017)

Learning a Hierarchical Embedding Model for Personalized Product Search. - Qingyao Ai; Yongfeng Zhang; Keping Bi; Xu Chen 017; W. Bruce Croft (SIGIR, 2017)

Personalized Key Frame Recommendation. - Xu Chen 017; Yongfeng Zhang; Qingyao Ai; Hongteng Xu; Junchi Yan; Zheng Qin 003 (SIGIR, 2017)

UMass at TREC 2017 Common Core Track. - Qingyao Ai; Hamed Zamani; Stephen M. Harding; Shahrzad Naseri; James Allan; W. Bruce Croft (TREC, 2017)

Characterizing Email Search using Large-scale Behavioral Logs and Surveys. - Qingyao Ai; Susan T. Dumais; Nick Craswell; Daniel J. Liebling (WWW, 2017)

Enhancing click models with mouse movement information. - Zeyang Liu; Jiaxin Mao; Chao Wang 049; Qingyao Ai; Yiqun Liu 001; Jian-Yun Nie (Inf. Retr. J., 2017)

Unbiased Learning to Rank: Theory and Practice. - Qingyao Ai; Jiaxin Mao; Yiqun Liu 001; W. Bruce Croft (CIKM, 2018)

Towards Conversational Search and Recommendation: System Ask, User Respond. - Yongfeng Zhang; Xu Chen 017; Qingyao Ai; Liu Yang 005; W. Bruce Croft (CIKM, 2018)

A Neural Passage Model for Ad-hoc Document Retrieval. - Qingyao Ai; Brendan O'Connor 001; W. Bruce Croft (ECIR, 2018)

Learning a Deep Listwise Context Model for Ranking Refinement. - Qingyao Ai; Keping Bi; Jiafeng Guo; W. Bruce Croft (SIGIR, 2018)

Unbiased Learning to Rank with Unbiased Propensity Estimation. - Qingyao Ai; Keping Bi; Cheng Luo 001; Jiafeng Guo; W. Bruce Croft (SIGIR, 2018)

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. - Qingyao Ai; Vahid Azizi 003; Xu Chen 017; Yongfeng Zhang (Algorithms, 2018)

Learning over Knowledge-Base Embeddings for Recommendation. - Yongfeng Zhang; Qingyao Ai; Xu Chen 017; Pengfei Wang 009 (CoRR, 2018)

Learning Groupwise Scoring Functions Using Deep Neural Networks. - Qingyao Ai; Xuanhui Wang; Nadav Golbandi; Michael Bendersky; Marc Najork (CoRR, 2018)

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval. - Keping Bi; Qingyao Ai; W. Bruce Croft (CoRR, 2018)

A Zero Attention Model for Personalized Product Search. - Qingyao Ai; Daniel N. Hill; S. V. N. Vishwanathan; W. Bruce Croft (CIKM, 2019)

Conversational Product Search Based on Negative Feedback. - Keping Bi; Qingyao Ai; Yongfeng Zhang; W. Bruce Croft (CIKM, 2019)

Correcting for Recency Bias in Job Recommendation. - Ruey-Cheng Chen; Qingyao Ai; Gaya Jayasinghe; W. Bruce Croft (CIKM, 2019)

Improving Web Image Search with Contextual Information. - Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Maarten de Rijke; Qingyao Ai; Yufei Huang 008; Min Zhang 006; Shaoping Ma (CIKM, 2019)

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. - Keping Bi; Qingyao Ai; W. Bruce Croft (ECIR (1), 2019)

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. - Qingyao Ai; Xuanhui Wang; Sebastian Bruch 001; Nadav Golbandi; Michael Bendersky; Marc Najork (ICTIR, 2019)

SIGIR 2019 Tutorial on Explainable Recommendation and Search. - Yongfeng Zhang; Jiaxin Mao; Qingyao Ai (SIGIR, 2019)

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. - Yixing Fan; Qingyao Ai; Zhaochun Ren; Liangjie Hong; Dawei Yin; Jiafeng Guo (WSDM, 2019)

WWW'19 Tutorial on Explainable Recommendation and Search. - Yongfeng Zhang; Jiaxin Mao; Qingyao Ai (WWW (Companion Volume), 2019)

Investigating Weak Supervision in Deep Ranking. - Yukun Zheng; Yiqun Liu 001; Zhen Fan 003; Cheng Luo 001; Qingyao Ai; Min Zhang 006; Shaoping Ma (Data Inf. Manag., 2019)

Neural generative models and representation learning for information retrieval. - Qingyao Ai (SIGIR Forum, 2019)

E-commerce Recommendation with Weighted Expected Utility. - Zhichao Xu 001; Yi Han; Yongfeng Zhang; Qingyao Ai (CIKM, 2020)

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. - Tao Yang 030; Shikai Fang; Shibo Li; Yulan Wang; Qingyao Ai (CIKM, 2020)

A Transformer-based Embedding Model for Personalized Product Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (SIGIR, 2020)

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. - Liang Pang; Jun Xu 001; Qingyao Ai; Yanyan Lan; Xueqi Cheng; Jirong Wen (SIGIR, 2020)

A Review-based Transformer Model for Personalized Product Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (CoRR, 2020)

Review Regularized Neural Collaborative Filtering. - Zhimeng Pan; Wenzheng Tao; Qingyao Ai (CoRR, 2020)

A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems. - Hansi Zeng; Qingyao Ai (CoRR, 2020)

A Deep Look into neural ranking models for information retrieval. - Jiafeng Guo; Yixing Fan; Liang Pang; Liu Yang 005; Qingyao Ai; Hamed Zamani; Chen Wu; W. Bruce Croft; Xueqi Cheng (Inf. Process. Manag., 2020)

Explainable Product Search with a Dynamic Relation Embedding Model. - Qingyao Ai; Yongfeng Zhang; Keping Bi; W. Bruce Croft (ACM Trans. Inf. Syst., 2020)

Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. - Qingyao Ai; Lakshmi Narayanan Ramasamy (CIKM, 2021)

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. - Anh Tran; Tao Yang 030; Qingyao Ai (CIKM, 2021)

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System. - Hansi Zeng; Zhichao Xu 001; Qingyao Ai (ECIR (1), 2021)

Session details: Session 1A - Ranking (1). - Qingyao Ai (ICTIR, 2021)

Asking Clarifying Questions Based on Negative Feedback in Conversational Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (ICTIR, 2021)

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. - Zhichao Xu 001; Hansi Zeng; Qingyao Ai (ICTIR, 2021)

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. - Xiaoqiang Zhu; Kuang-chih Lee; Guorui Zhou; Biye Jiang; Zhe Wang; Ruiming Tang; Kan Ren; Qingyao Ai; Weinan Zhang 001 (KDD, 2021)

Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (SIGIR, 2021)

Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. - Liang Pang; Qingyao Ai; Jun Xu 001 (SIGIR, 2021)

Controlling the Risk of Conversational Search via Reinforcement Learning. - Zhenduo Wang; Qingyao Ai (WWW, 2021)

Maximizing Marginal Fairness for Dynamic Learning to Rank. - Tao Yang 030; Qingyao Ai (WWW, 2021)

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System. - Hansi Zeng; Zhichao Xu 001; Qingyao Ai (CoRR, 2021)

Unbiased Learning to Rank: Online or Offline? - Qingyao Ai; Tao Yang 030; Huazheng Wang; Jiaxin Mao (ACM Trans. Inf. Syst., 2021)

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. - Yinqiong Cai; Jiafeng Guo; Yixing Fan; Qingyao Ai; Ruqing Zhang 001; Xueqi Cheng (CIKM, 2022)

UTIRL at the NTCIR-16 ULTRE Task. - Anh Tran; Tao Yang 030; Qingyao Ai (NTCIR, 2022)

Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task. - Yurou Zhao; Zechun Niu; Feng Wang; Jiaxin Mao; Qingyao Ai; Tao Yang 030; Junqi Zhang; Yiqun Liu 001 (NTCIR, 2022)

Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search. - Yixiao Ma; Qingyao Ai; Yueyue Wu; Yunqiu Shao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR, 2022)

Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. - Tao Yang 030; Chen Luo 003; Hanqing Lu; Parth Gupta; Bing Yin; Qingyao Ai (SIGIR, 2022)

Effective Exposure Amortizing for Fair Top-k Recommendation. - Tao Yang 030; Zhichao Xu 001; Qingyao Ai (CoRR, 2022)

Learning to Rank Rationales for Explainable Recommendation. - Zhichao Xu 001; Yi Han; Tao Yang 030; Anh Tran; Qingyao Ai (CoRR, 2022)

Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval. - Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Jiaxin Mao; Xiaohui Xie; Min Zhang 006; Shaoping Ma (CoRR, 2022)

Reinforcement Learning to Rank with Coarse-grained Labels. - Zhichao Xu 001; Anh Tran; Tao Yang 030; Qingyao Ai (CoRR, 2022)

Simulating and Modeling the Risk of Conversational Search. - Zhenduo Wang; Qingyao Ai (ACM Trans. Inf. Syst., 2022)

FARA: Future-aware Ranking Algorithm for Fairness Optimization. - Tao Yang 030; Zhichao Xu 001; Zhenduo Wang; Qingyao Ai (CIKM, 2023)

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li 006; Shuaiqiang Wang; Yiqun Liu 001; Dawei Yin; Shaoping Ma (CIKM, 2023)

Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. - Bulou Liu; Yiran Hu; Qingyao Ai; Yiqun Liu 001; Yueyue Wu; Chenliang Li; Weixing Shen (CIKM, 2023)

CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding. - Yixiao Ma; Yueyue Wu; Weihang Su; Qingyao Ai; Yiqun Liu 001 (EMNLP, 2023)

EVIA 2023 Preface. - Qingyao Ai; Douglas W. Oard (EVIA, 2023)

Overview of the NTCIR-17 Session Search (SS-2) Task. - Haitao Li 006; Jia Chen 003; Jiannan Wang; Weihang Su; Qingyao Ai; Xinyan Han; Beining Wang; Yiqun Liu 001 (NTCIR, 2023)

THUIR_SS at the NTCIR-17 Session Search (SS) Task. - Xinyan Han; Yiteng Tu; Haitao Li 006; Qingyao Ai; Yiqun Liu 001 (NTCIR, 2023)

Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Lixin Zou; Shuaiqiang Wang; Dawei Yin (NTCIR, 2023)

THUIR at the NTCIR-17 FairWeb-1 Task: An Initial Exploration of the Relationship Between Relevance and Fairness. - Yiteng Tu; Haitao Li 006; Zhumin Chu; Qingyao Ai; Yiqun Liu 001 (NTCIR, 2023)

Result Diversification for Legal case Retrieval. - Ruizhe Zhang 005; Qingyao Ai; Yueyue Wu; Yixiao Ma; Yiqun Liu 001 (SIGIR-AP, 2023)

Vertical Allocation-based Fair Exposure Amortizing in Ranking. - Tao Yang 030; Zhichao Xu 001; Qingyao Ai (SIGIR-AP, 2023)

Chuweb21D: A Deduped English Document Collection for Web Search Tasks. - Zhumin Chu; Tetsuya Sakai; Qingyao Ai; Yiqun Liu 001 (SIGIR-AP, 2023)

Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process. - Beining Wang; Ruizhe Zhang 005; Yueyue Wu; Qingyao Ai; Min Zhang 006; Yiqun Liu 001 (SIGIR-AP, 2023)

Metric-agnostic Ranking Optimization. - Qingyao Ai; Xuanhui Wang; Michael Bendersky (SIGIR, 2023)

Behavior Modeling for Point of Interest Search. - Haitian Chen; Qingyao Ai; Zhijing Wu 001; Zhihong Wang; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Juan Hu; Naiqiang Tan; Hua Chai (SIGIR, 2023)

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. - Haitao Li 006; Qingyao Ai; Jia Chen 003; Qian Dong; Yueyue Wu; Yiqun Liu 001; Chong Chen 001; Qi Tian 001 (SIGIR, 2023)

Constructing Tree-based Index for Efficient and Effective Dense Retrieval. - Haitao Li 006; Qingyao Ai; Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Zheng Liu 011; Zhao Cao (SIGIR, 2023)

Model-based Unbiased Learning to Rank. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Dawei Yin; Brian D. Davison 001 (WSDM, 2023)

Marginal-Certainty-Aware Fair Ranking Algorithm. - Tao Yang 030; Zhichao Xu 001; Zhenduo Wang; Anh Tran; Qingyao Ai (WSDM, 2023)

Zero-shot Clarifying Question Generation for Conversational Search. - Zhenduo Wang; Yuancheng Tu; Corby Rosset; Nick Craswell; Ming Wu; Qingyao Ai (WWW, 2023)

Counterfactual Editing for Search Result Explanation. - Zhichao Xu 001; Hemank Lamba; Qingyao Ai; Joel R. Tetreault; Alex Jaimes (CoRR, 2023)

Diverse legal case search. - Ruizhe Zhang 005; Qingyao Ai; Yueyue Wu; Yixiao Ma; Yiqun Liu 001 (CoRR, 2023)

Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank. - Haitao Li 006; Jia Chen 003; Weihang Su; Qingyao Ai; Yiqun Liu 001 (CoRR, 2023)

Reward-free Policy Imitation Learning for Conversational Search. - Zhenduo Wang; Zhichao Xu 001; Qingyao Ai (CoRR, 2023)

THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank. - Jia Chen 003; Haitao Li 006; Weihang Su; Qingyao Ai; Yiqun Liu 001 (CoRR, 2023)

THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval. - Haitao Li 006; Weihang Su; Changyue Wang; Yueyue Wu; Qingyao Ai; Yiqun Liu 001 (CoRR, 2023)

THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment. - Haitao Li 006; Changyue Wang; Weihang Su; Yueyue Wu; Qingyao Ai; Yiqun Liu 001 (CoRR, 2023)

Unconfounded Propensity Estimation for Unbiased Ranking. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li; Dawei Yin; Brian D. Davison 001 (CoRR, 2023)

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li 006; Shuaiqiang Wang; Yiqun Liu 001; Dawei Yin; Shaoping Ma (CoRR, 2023)

GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network. - Kaiyuan Zhang; Ziyi Ye; Qingyao Ai; Xiaohui Xie; Yiqun Liu 001 (CoRR, 2023)

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu 001; Haitao Li 006; Yiqun Liu 001; Shuaiqiang Wang; Dawei Yin; Shaoping Ma (CoRR, 2023)

Caseformer: Pre-training for Legal Case Retrieval. - Weihang Su; Qingyao Ai; Yueyue Wu; Yixiao Ma; Haitao Li 006; Yiqun Liu 001 (CoRR, 2023)

Language Generation from Human Brain Activities. - Ziyi Ye; Qingyao Ai; Yiqun Liu 001; Min Zhang 006; Christina Lioma; Tuukka Ruotsalo (CoRR, 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. - Yan Fang; Qingyao Ai; Jingtao Zhan; Yiqun Liu 001; Xiaolong Wu; Zhao Cao (AAAI, 2024)

Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval. - Weihang Su; Qingyao Ai; Xiangsheng Li; Jia Chen 003; Yiqun Liu 001; Xiaolong Wu; Shengluan Hou (AAAI, 2024)

DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models. - Weihang Su; Yichen Tang; Qingyao Ai; Zhijing Wu 001; Yiqun Liu 001 (ACL (1), 2024)

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models. - Weihang Su; Changyue Wang; Qingyao Ai; Yiran Hu; Zhijing Wu 001; Yujia Zhou 002; Yiqun Liu 001 (ACL (Findings), 2024)

Prompt Refinement with Image Pivot for Text-to-Image Generation. - Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Yingwei Pan; Ting Yao; Jiaxin Mao; Shaoping Ma; Tao Mei 001 (ACL (1), 2024)

Automatic Large Language Model Evaluation via Peer Review. - Zhumin Chu; Qingyao Ai; Yiteng Tu; Haitao Li 006; Yiqun Liu 001 (CIKM, 2024)

LeDQA: A Chinese Legal Case Document-based Question Answering Dataset. - Bulou Liu; Zhenhao Zhu; Qingyao Ai; Yiqun Liu 001; Yueyue Wu (CIKM, 2024)

A Situation-aware Enhancer for Personalized Recommendation. - Jiayu Li 001; Peijie Sun; Chumeng Jiang; Weizhi Ma; Qingyao Ai; Min Zhang 006 (DASFAA (3), 2024)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. - Shenghao Yang 004; Weizhi Ma; Peijie Sun; Min Zhang 006; Qingyao Ai; Yiqun Liu 001; Mingchen Cai (DASFAA (5), 2024)

STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals. - Weihang Su; Yiran Hu; Anzhe Xie; Qingyao Ai; Quezi Bing; Ning Zheng; Yun Liu; Weixing Shen; Yiqun Liu 001 (EMNLP (Findings), 2024)

CFE2: Counterfactual Editing for Search Result Explanation. - Zhichao Xu 001; Hemank Lamba; Qingyao Ai; Joel R. Tetreault; Alex Jaimes (ICTIR, 2024)

Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval. - Haitao Li 006; You Chen; Zhekai Ge; Qingyao Ai; Yiqun Liu 001; Quan Zhou; Shuai Huo (JSAI-isAI, 2024)

Query Augmentation with Brain Signals. - Ziyi Ye; Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Maarten de Rijke; Christina Lioma; Tuukka Ruotsalo (ACM Multimedia, 2024)

LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models. - Haitao Li 006; You Chen; Qingyao Ai; Yueyue Wu; Ruizhe Zhang 005; Yiqun Liu 001 (NeurIPS, 2024)

Mitigating Entity-Level Hallucination in Large Language Models. - Weihang Su; Yichen Tang; Qingyao Ai; Changyue Wang; Zhijing Wu 001; Yiqun Liu 001 (SIGIR-AP, 2024)

LeKUBE: A Knowledge Update BEnchmark for Legal Domain. - Changyue Wang; Weihang Su; Yiran Hu; Qingyao Ai; Yueyue Wu; Cheng Luo 001; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR-AP, 2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu 001; Haitao Li 006; Yiqun Liu 001; Shuaiqiang Wang; Dawei Yin; Shaoping Ma (SIGIR, 2024)

Scaling Laws For Dense Retrieval. - Yan Fang; Jingtao Zhan; Qingyao Ai; Jiaxin Mao; Weihang Su; Jia Chen 003; Yiqun Liu 001 (SIGIR, 2024)

LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset. - Haitao Li 006; Yunqiu Shao; Yueyue Wu; Qingyao Ai; Yixiao Ma; Yiqun Liu 001 (SIGIR, 2024)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li; Dawei Yin; Brian D. Davison 001 (SIGIR, 2024)

Sequential Recommendation with Latent Relations based on Large Language Model. - Shenghao Yang 004; Weizhi Ma; Peijie Sun; Qingyao Ai; Yiqun Liu 001; Mingchen Cai; Min Zhang 006 (SIGIR, 2024)

Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. - Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Jia Chen 003; Shaoping Ma (SIGIR, 2024)

EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation. - Shaorun Zhang; Zhiyu He; Ziyi Ye; Peijie Sun; Qingyao Ai; Min Zhang 006; Yiqun Liu 001 (SIGIR, 2024)

Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. - Tao Yang 030; Cuize Han; Chen Luo 003; Parth Gupta; Jeff M. Phillips; Qingyao Ai (WWW, 2024)

An In-depth Investigation of User Response Simulation for Conversational Search. - Zhenduo Wang; Zhichao Xu 001; Vivek Srikumar; Qingyao Ai (WWW, 2024)

PRE: A Peer Review Based Large Language Model Evaluator. - Zhumin Chu; Qingyao Ai; Yiteng Tu; Haitao Li 006; Yiqun Liu 001 (CoRR, 2024)

Query Augmentation by Decoding Semantics from Brain Signals. - Ziyi Ye; Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Maarten de Rijke; Christina Lioma; Tuukka Ruotsalo (CoRR, 2024)

Gender Biased Legal Case Retrieval System on Users' Decision Process. - Ruizhe Zhang 005; Qingyao Ai; Yiqun Liu 001; Yueyue Wu; Beining Wang (CoRR, 2024)

Exploring the Impact of Opinion Polarization on Short Video Consumption. - Bangde Du; Ziyi Ye; Zhijing Wu 001; Qingyao Ai; Yiqun Liu 001 (CoRR, 2024)

Evaluation Ethics of LLMs in Legal Domain. - Ruizhe Zhang 005; Haitao Li 006; Yueyue Wu; Qingyao Ai; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CoRR, 2024)

Improving Legal Case Retrieval with Brain Signals. - Ruizhe Zhang 005; Qingyao Ai; Ziyi Ye; Yueyue Wu; Xiaohui Xie; Yiqun Liu 001 (CoRR, 2024)

BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models. - Haitao Li 006; Qingyao Ai; Jia Chen 003; Qian Dong; Zhijing Wu 001; Yiqun Liu 001; Chong Chen 001; Qi Tian 001 (CoRR, 2024)

DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment. - Haitao Li 006; Qingyao Ai; Xinyan Han; Jia Chen 003; Qian Dong; Yiqun Liu 001; Chong Chen 001; Qi Tian 001 (CoRR, 2024)

Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Ji-Rong Wen (CoRR, 2024)

EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels. - Shuqi Zhu; Ziyi Ye; Qingyao Ai; Yiqun Liu 001 (CoRR, 2024)

STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals. - Weihang Su; Yiran Hu; Anzhe Xie; Qingyao Ai; Zibing Que; Ning Zheng; Yun Liu; Weixing Shen; Yiqun Liu 001 (CoRR, 2024)

LeKUBE: A Legal Knowledge Update BEnchmark. - Changyue Wang; Weihang Su; Yiran Hu; Qingyao Ai; Yueyue Wu; Cheng Luo 001; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CoRR, 2024)

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data. - Ziyi Ye; Xiangsheng Li; Qiuchi Li; Qingyao Ai; Yujia Zhou 002; Wei Shen; Dong Yan; Yiqun Liu 001 (CoRR, 2024)

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods. - Haitao Li 006; Qian Dong; Junjie Chen; Huixue Su; Yujia Zhou 002; Qingyao Ai; Ziyi Ye; Yiqun Liu 001 (CoRR, 2024)

Knowledge Editing through Chain-of-Thought. - Changyue Wang; Weihang Su; Qingyao Ai; Yiqun Liu 001 (CoRR, 2024)

Unsupervised dense retrieval with conterfactual contrastive learning. - Haitian Chen; Qingyao Ai; Xiao Wang 043; Yiqun Liu 001; Fen Lin; Qin Liu (CoRR, 2024)

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. - Zhichao Xu 001; Hansi Zeng; Juntao Tan; Zuohui Fu; Yongfeng Zhang; Qingyao Ai (ACM Trans. Inf. Syst., 2024)

Incorporating Structural Information into Legal Case Retrieval. - Yixiao Ma; Yueyue Wu; Qingyao Ai; Yiqun Liu 001; Yunqiu Shao; Min Zhang 006; Shaoping Ma (ACM Trans. Inf. Syst., 2024)

An Intent Taxonomy of Legal Case Retrieval. - Yunqiu Shao; Haitao Li 006; Yueyue Wu; Yiqun Liu 001; Qingyao Ai; Jiaxin Mao; Yixiao Ma; Shaoping Ma (ACM Trans. Inf. Syst., 2024)

Relevance Feedback with Brain Signals. - Ziyi Ye; Xiaohui Xie; Qingyao Ai; Yiqun Liu 001; Zhihong Wang; Weihang Su; Min Zhang 006 (ACM Trans. Inf. Syst., 2024)

Comparing point-wise and pair-wise relevance judgment with brain signals. - Shuqi Zhu; Xiaohui Xie; Ziyi Ye; Qingyao Ai; Yiqun Liu 001 (J. Assoc. Inf. Sci. Technol., 2024)

BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models. - Haitao Li 006; Qingyao Ai; Jia Chen 003; Qian Dong; Zhijing Wu 001; Yiqun Liu 001 (AAAI, 2025)

DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment. - Haitao Li 006; Qingyao Ai; Xinyan Han; Jia Chen 003; Qian Dong; Yiqun Liu 001 (AAAI, 2025)

CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges. - Haitao Li 006; Junjie Chen; Qingyao Ai; Zhumin Chu; Yujia Zhou 002; Qian Dong; Yiqun Liu 001 (ACL (1), 2025)

LegalAgentBench: Evaluating LLM Agents in Legal Domain. - Haitao Li 006; Junjie Chen; Jingli Yang; Qingyao Ai; Wei Jia; Youfeng Liu; Kai Lin; Yueyue Wu; Guozhi Yuan; Yiran Hu; Wuyue Wang; Yiqun Liu 001; et al. (ACL (1), 2025)

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing. - Changyue Wang; Weihang Su; Qingyao Ai; Yujia Zhou 002; Yiqun Liu 001 (ACL (Findings), 2025)

Learning LLM-as-a-Judge for Preference Alignment. - Ziyi Ye; Xiangsheng Li; Qiuchi Li; Qingyao Ai; Yujia Zhou 002; Wei Shen; Dong Yan; Yiqun Liu 001 (ICLR, 2025)

Overview of NTCIR-18. - Chung-Chi Chen 001; Qingyao Ai; Shoko Wakamiya (NTCIR, 2025)

Overview of the NTCIR-18 Automatic Evaluation of LLMs(AEOLLM) Task. - Junjie Chen; Haitao Li 006; Zhumin Chu; Yiqun Liu 001; Qingyao Ai (NTCIR, 2025)

THUIR at the NTCIR-18 FairWeb-2 Task. - Huixue Su; Haitao Li 006; Yiteng Tu; Qingyao Ai; Yiqun Liu 001 (NTCIR, 2025)

The 1st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI. - Yujia Zhou 002; Wei Ji 008; Xuri Ge; Qingyao Ai; Joemon M. Jose; Yiqun Liu 001 (SIGIR, 2025)

Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions. - Jia Chen 003; Qian Dong; Haitao Li 006; Xiaohui He 002; Yan Gao 017; Shaosheng Cao; Yi Wu; Ping Yang; Chen Xu; Yao Hu 002; Qingyao Ai; Yiqun Liu 001 (SIGIR, 2025)

LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation. - Haitao Li 006; Yifan Chen; Hu YiRan; Qingyao Ai; Junjie Chen; Xiaoyu Yang; Jianhui Yang; Yueyue Wu; Zeyang Liu; Yiqun Liu 001 (SIGIR, 2025)

Understanding the Effect of Opinion Polarization in Short Video Browsing. - Bangde Du; Ziyi Ye; Zhijing Wu 001; Monika Jankowska; Qingyao Ai; Yiqun Liu 001 (SIGIR, 2025)

Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. - Zechun Niu; Zhilin Zhang; Jiaxin Mao; Qingyao Ai; Ji-Rong Wen (SIGIR, 2025)

Dynamic and Parametric Retrieval-Augmented Generation. - Weihang Su; Qingyao Ai; Jingtao Zhan; Qian Dong; Yiqun Liu 001 (SIGIR, 2025)

Parametric Retrieval Augmented Generation. - Weihang Su; Yichen Tang; Qingyao Ai; Junxi Yan; Changyue Wang; Hongning Wang; Ziyi Ye; Yujia Zhou 002; Yiqun Liu 001 (SIGIR, 2025)

JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System. - Weihang Su; Baoqing Yue; Qingyao Ai; Yiran Hu; Jiaqi Li; Changyue Wang; Kaiyuan Zhang; Yueyue Wu; Yiqun Liu 001 (SIGIR, 2025)

Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects. - Yiteng Tu; Weihang Su; Yujia Zhou 002; Yiqun Liu 001; Qingyao Ai (SIGIR, 2025)

Brain Image Reconstruction with Retrieval-Augmented Diffusion. - Shuqi Zhu; Ziyi Ye; Yi Zhong; Qingyao Ai; Yujia Zhou 002; Yiqun Liu 001 (SIGIR, 2025)

Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. - Qian Dong; Qingyao Ai; Hongning Wang; Yiding Liu; Haitao Li 006; Weihang Su; Yiqun Liu 001; Tat-Seng Chua; Shaoping Ma (WWW, 2025)

Improving GenIR Systems Based on User Feedback. - Qingyao Ai; Zhicheng Dou; Min Zhang 006 (CoRR, 2025)

Foundations of GenIR. - Qingyao Ai; Jingtao Zhan; Yiqun Liu 001 (CoRR, 2025)

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects. - Yiteng Tu; Weihang Su; Yujia Zhou 002; Yiqun Liu 001; Qingyao Ai (CoRR, 2025)

CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation. - Haitao Li 006; Jiaying Ye; Yiran Hu; Jia Chen 003; Qingyao Ai; Yueyue Wu; Junjie Chen; Yifan Chen; Cheng Luo 001; Quan Zhou; Yiqun Liu 001 (CoRR, 2025)

Evaluating Intelligence via Trial and Error. - Jingtao Zhan; Jiahao Zhao; Jiayu Li 001; Yiqun Liu 001; Bo Zhang; Qingyao Ai; Jiaxin Mao; Hongning Wang; Min Zhang 006; Shaoping Ma (CoRR, 2025)

LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation. - Haitao Li 006; Yifan Chen; Yiran Hu; Qingyao Ai; Junjie Chen; Xiaoyu Yang; Jianhui Yang; Yueyue Wu; Zeyang Liu; Yiqun Liu 001 (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution. - Junjie Chen; Haitao Li 006; Jingli Yang; Yiqun Liu 001; Qingyao Ai (CoRR, 2025)

Simulating Prosocial Behavior and Social Contagion in LLM Agents under Institutional Interventions. - Yujia Zhou 002; Hexi Wang; Qingyao Ai; Zhen Wu; Yiqun Liu 001 (CoRR, 2025)

ValueSim: Generating Backstories to Model Individual Value Systems. - Bangde Du; Ziyi Ye; Zhijing Wu 001; Monika Jankowska; Shuqi Zhu; Qingyao Ai; Yujia Zhou 002; Yiqun Liu 001 (CoRR, 2025)

Structure-Aware Conversational Legal Case Retrieval. - Bulou Liu; Yiran Hu; Qingyao Ai; Yueyue Wu; Yiqun Liu 001; Chenliang Li; Fan Zhang 053; Weixing Shen; Chong Chen 001; Qi Tian 001 (ACM Trans. Inf. Syst., 2025)

Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models. - Changyue Wang; Weihang Su; Qingyao Ai; Yiqun Liu 001 (CoRR, 2025)

Augmenting Multi-Agent Communication with State Delta Trajectory. - Yichen Tang; Weihang Su; Yujia Zhou 002; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Qingyao Ai (CoRR, 2025)

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models. - Yiran Hu; Zongyue Xue; Haitao Li 006; Siyuan Zheng; Qingjing Chen; Shaochun Wang; Xihan Zhang; Ning Zheng; Yun Liu; Qingyao Ai; Yiqun Liu 001; Charles L. A. Clarke; et al. (CoRR, 2025)

SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation. - Qian Dong; Jia Chen 003; Qingyao Ai; Hongning Wang; Haitao Li 006; Yi Wu; Yao Hu 002; Yiqun Liu 001; Shaoping Ma (CoRR, 2025)

Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty. - Jiayu Li 001; Ziyi Ye; Guohao Jian; Zhiqiang Guo; Weizhi Ma; Qingyao Ai; Min Zhang 006 (CoRR, 2025)

Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge. - Bulou Liu; Yiran Hu; Qingyao Ai; Yiqun Liu 001; Yueyue Wu; Chenliang Li; Weixing Shen (ACM Trans. Inf. Syst., 2025)

Benchmarking Computer Science Survey Generation. - Weihang Su; Anzhe Xie; Qingyao Ai; Jianming Long; Jiaxin Mao; Ziyi Ye; Yiqun Liu 001 (CoRR, 2025)

Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions. - Weihang Su; Qingyao Ai; Yueyue Wu; Anzhe Xie; Changyue Wang; Yixiao Ma; Haitao Li 006; Zhijing Wu 001; Yiqun Liu 001; Min Zhang 006 (ACM Trans. Inf. Syst., 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)