Qingyao Ai

292 papers A* 58A 29B 1Misc 7Journal 161Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Causal Information-Flow Framework for Unbiased Learning-to-Rank.
CoRR
Haoming Gong, Qingyao Ai, Zhihao Tao, Yongfeng Zhang
2026 J jnl
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs.
CoRR
Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu
2026 J jnl
Analytical Search.
CoRR
Yiteng Tu, Shuo Miao, Weihang Su, Yiqun Liu, Qingyao Ai
2026 A* conf
Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation.
AAAI
Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2026 J jnl
Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs.
CoRR
Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai
2026 J jnl
Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions.
CoRR
Xuancheng Li, Tao Yang, Yujia Zhou, Qingyao Ai, Yiqun Liu
2026 J jnl
Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs.
CoRR
Yiteng Tu, Weihang Su, Shuguang Han, Yiqun Liu, Qingyao Ai
2026 J jnl
Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions.
CoRR
Yiran Hu, Huanghai Liu, Chong Wang, Kunran Li, Tien-Hsuan Wu, Haitao Li, Xinran Xu, Siqing Huo, Weihang Su, Ning Zheng, Siyuan Zheng, Qingyao Ai, Yun Liu, Renjun Bian, Yiqun Liu, Charles L. A. Clarke, Weixing Shen, Ben Kao
2026 A* conf
Generalized Pseudo-Relevance Feedback.
WWW
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai
2026 J jnl
Improve Large Language Model Systems with User Logs.
CoRR
Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu
2026 A* conf
Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities.
AAAI
Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu
2026 A* conf
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models.
AAAI
Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu
2026 J jnl
LegalOne: A Family of Foundation Models for Reliable Legal Reasoning.
CoRR
Haitao Li, Yifan Chen, Shuo Miao, Qian Dong, Jia Chen, Yiran Hu, Junjie Chen, Minghao Qin, Yueyue Wu, Yujia Zhou, Qingyao Ai, Yiqun Liu, Cheng Luo, Quan Zhou, Ya Zhang, Jikun Hu
2026 J jnl
MulFeRL: Enhancing Reinforcement Learning with Verbal Feedback in a Multi-turn Loop.
CoRR
Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai
2026 J jnl
Multi-Field Tool Retrieval.
CoRR
Yichen Tang, Weihang Su, Yiqun Liu, Qingyao Ai
2026 J jnl
Multi-Source Retrieval and Reasoning for Legal Sentencing Prediction.
CoRR
Junjie Chen, Haitao Li, Qilei Zhang, Zhenghua Li, Ya Zhang, Quan Zhou, Cheng Luo, Yiqun Liu, Dongsheng Guo, Qingyao Ai
2026 J jnl
Parametric Social Identity Injection and Diversification in Public Opinion Simulation.
CoRR
Hexi Wang, Yujia Zhou, Bangde Du, Qingyao Ai, Yiqun Liu
2026 A* conf
Simulating Dispute Mediation with LLM-Based Agents for Legal Research.
AAAI
Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai
2026 A conf
Unsupervised Dense Retrieval with Conterfactual Contrastive Learning.
WSDM
Haitian Chen, Qingyao Ai, Yujia Zhou, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu
2026 J jnl
User Immersion-aware Short Video Recommendation.
ACM Trans. Inf. Syst.
Zhiyu He, Shaorun Zhang, Weizhi Ma, Jiayu Li, Peijie Sun, Qingyao Ai, Yiqun Liu, Min Zhang
2025 — conf
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs.
SIGIR-AP
Xuancheng Li, Haitao Li, Yujia Zhou, Qingyao Ai, Yiqun Liu
2025 J jnl
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty.
CoRR
Jiayu Li, Ziyi Ye, Guohao Jian, Zhiqiang Guo, Weizhi Ma, Qingyao Ai, Min Zhang
2025 A* conf
Augmenting Multi-Agent Communication with State Delta Trajectory.
EMNLP
Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2025 J jnl
Augmenting Multi-Agent Communication with State Delta Trajectory.
CoRR
Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2025 A* conf
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models.
AAAI
Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu
2025 J jnl
Benchmarking Computer Science Survey Generation.
CoRR
Weihang Su, Anzhe Xie, Qingyao Ai, Jianming Long, Jiaxin Mao, Ziyi Ye, Yiqun Liu
2025 A* conf
Brain Image Reconstruction with Retrieval-Augmented Diffusion.
SIGIR
Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 — conf
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.
ACL (1)
Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu
2025 J jnl
CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation.
CoRR
Haitao Li, Jiaying Ye, Yiran Hu, Jia Chen, Qingyao Ai, Yueyue Wu, Junjie Chen, Yifan Chen, Cheng Luo, Quan Zhou, Yiqun Liu
2025 J jnl
Chinese Court Simulation with LLM-Based Agent System.
CoRR
Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Qingyao Ai, Yiqun Liu
2025 A* conf
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment.
AAAI
Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu
2025 A* conf
Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention.
WWW
Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
2025 — conf
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing.
ACL (Findings)
Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing.
CoRR
Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
Deep Research: A Systematic Survey.
CoRR
Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren
2025 — conf
Dynamic and Parametric Retrieval Augmented Generation.
SIGIR-AP
Weihang Su, Qian Dong, Qingyao Ai, Yiqun Liu
2025 A* conf
Dynamic and Parametric Retrieval-Augmented Generation.
SIGIR
Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu
2025 J jnl
Dynamic and Parametric Retrieval-Augmented Generation.
CoRR
Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu
2025 J jnl
Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution.
CoRR
Junjie Chen, Haitao Li, Jingli Yang, Yiqun Liu, Qingyao Ai
2025 J jnl
Evaluating Intelligence via Trial and Error.
CoRR
Jingtao Zhan, Jiahao Zhao, Jiayu Li, Yiqun Liu, Bo Zhang, Qingyao Ai, Jiaxin Mao, Hongning Wang, Min Zhang, Shaoping Ma
2025 J jnl
Foundations of GenIR.
CoRR
Qingyao Ai, Jingtao Zhan, Yiqun Liu
2025 J jnl
From to : Multidimensional Supervision of Reasoning Process for LLM Optimization.
CoRR
Beining Wang, Weihang Su, Hongtao Tian, Tao Yang, Yujia Zhou, Ting Yao, Qingyao Ai, Yiqun Liu
2025 J jnl
Generalized Pseudo-Relevance Feedback.
CoRR
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai
2025 J jnl
Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge.
ACM Trans. Inf. Syst.
Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen
2025 J jnl
Improving GenIR Systems Based on User Feedback.
CoRR
Qingyao Ai, Zhicheng Dou, Min Zhang
2025 A* conf
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study.
SIGIR
Zechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen
2025 J jnl
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models.
CoRR
Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu
2025 A* conf
JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System.
SIGIR
Weihang Su, Baoqing Yue, Qingyao Ai, Yiran Hu, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu
2025 J jnl
JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System.
CoRR
Weihang Su, Baoqing Yue, Qingyao Ai, Yiran Hu, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu
2025 A conf
JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference.
CIKM
Zongyue Xue, Siyuan Zheng, Shaochun Wang, Yiran Hu, Yuxin Yao, Shengran Wang, Haitao Li, Qingyao Ai, Yiqun Liu, Yun Liu, Weixing Shen
2025 J jnl
JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference.
CoRR
Zongyue Xue, Siyuan Zheng, Shaochun Wang, Yiran Hu, Shenran Wang, Yuxin Yao, Haitao Li, Qingyao Ai, Yiqun Liu, Yun Liu, Weixing Shen
2025 A* conf
Knowledge Editing through Chain-of-Thought.
EMNLP
Changyue Wang, Weihang Su, Qingyao Ai, Yichen Tang, Yiqun Liu
2025 J jnl
LLMs on Trial: Evaluating Judicial Fairness for Large Language Models.
CoRR
Yiran Hu, Zongyue Xue, Haitao Li, Siyuan Zheng, Qingjing Chen, Shaochun Wang, Xihan Zhang, Ning Zheng, Yun Liu, Qingyao Ai, Yiqun Liu, Charles L. A. Clarke, Weixing Shen
2025 A* conf
Learning LLM-as-a-Judge for Preference Alignment.
ICLR
Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu
2025 — conf
LegalAgentBench: Evaluating LLM Agents in Legal Domain.
ACL (1)
Haitao Li, Junjie Chen, Jingli Yang, Qingyao Ai, Wei Jia, Youfeng Liu, Kai Lin, Yueyue Wu, Guozhi Yuan, Yiran Hu, Wuyue Wang, Yiqun Liu, Minlie Huang
2025 A* conf
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation.
SIGIR
Haitao Li, Yifan Chen, Yiran Hu, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu
2025 J jnl
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation.
CoRR
Haitao Li, Yifan Chen, Yiran Hu, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu
2025 J jnl
MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems.
CoRR
Qingyao Ai, Yichen Tang, Changyue Wang, Jianming Long, Weihang Su, Yiqun Liu
2025 — conf
Overview of NTCIR-18.
NTCIR
Chung-Chi Chen, Qingyao Ai, Shoko Wakamiya
2025 J jnl
Overview of the NTCIR-18 Automatic Evaluation of LLMs (AEOLLM) Task.
CoRR
Junjie Chen, Haitao Li, Zhumin Chu, Yiqun Liu, Qingyao Ai
2025 — conf
Overview of the NTCIR-18 Automatic Evaluation of LLMs(AEOLLM) Task.
NTCIR
Junjie Chen, Haitao Li, Zhumin Chu, Yiqun Liu, Qingyao Ai
2025 — conf
PEPE: Long-context Extension for Large Language Models via Periodic Extrapolation Positional Encodings.
EMNLP (Findings)
Jikun Hu, Dongsheng Guo, Yuli Liu, Qingyao Ai, Lixuan Wang, Xuebing Sun, Qilei Zhang, Quan Zhou, Cheng Luo
2025 A* conf
Parametric Retrieval Augmented Generation.
SIGIR
Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
2025 J jnl
Parametric Retrieval Augmented Generation.
CoRR
Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu
2025 J jnl
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst.
Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke
2025 J jnl
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2.
ACM Trans. Inf. Syst.
Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke
2025 J jnl
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions.
ACM Trans. Inf. Syst.
Weihang Su, Qingyao Ai, Yueyue Wu, Anzhe Xie, Changyue Wang, Yixiao Ma, Haitao Li, Zhijing Wu, Yiqun Liu, Min Zhang
2025 A* conf
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions.
SIGIR
Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu
2025 J jnl
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions.
CoRR
Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu
2025 J jnl
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects.
CoRR
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
2025 J jnl
Relative-Based Scaling Law for Neural Language Models.
CoRR
Baoqing Yue, Jinyuan Zhou, Zixi Wei, Jingtao Zhan, Qingyao Ai, Yiqun Liu
2025 J jnl
Report on the 18th Round of NII Testbeds and Community for Information Access Research (NTCIR-18).
SIGIR Forum
Chung-Chi Chen, Qingyao Ai, Shoko Wakamiya, Makoto P. Kato, Yiqun Liu, Charles L. A. Clarke, Noriko Kando
2025 A* conf
Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects.
SIGIR
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai
2025 A* conf
SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation.
EMNLP
Qian Dong, Jia Chen, Qingyao Ai, Hongning Wang, Haitao Li, Yi Wu, Yao Hu, Yiqun Liu, Shaoping Ma
2025 J jnl
SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation.
CoRR
Qian Dong, Jia Chen, Qingyao Ai, Hongning Wang, Haitao Li, Yi Wu, Yao Hu, Yiqun Liu, Shaoping Ma
2025 A* conf
SimVBG: Simulating Individual Values by Backstory Generation.
EMNLP
Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
Simulating Dispute Mediation with LLM-Based Agents for Legal Research.
CoRR
Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai
2025 J jnl
Simulating Prosocial Behavior and Social Contagion in LLM Agents under Institutional Interventions.
CoRR
Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu
2025 J jnl
Structure-Aware Conversational Legal Case Retrieval.
ACM Trans. Inf. Syst.
Bulou Liu, Yiran Hu, Qingyao Ai, Yueyue Wu, Yiqun Liu, Chenliang Li, Fan Zhang, Weixing Shen, Chong Chen, Qi Tian
2025 — conf
THUIR at the NTCIR-18 FairWeb-2 Task.
NTCIR
Huixue Su, Haitao Li, Yiteng Tu, Qingyao Ai, Yiqun Liu
2025 A* conf
The 1
SIGIR
Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu
2025 J jnl
Towards Unification of Hallucination Detection and Fact Verification for Large Language Models.
CoRR
Weihang Su, Jianming Long, Changyue Wang, Shiyu Lin, Jingyan Xu, Ziyi Ye, Qingyao Ai, Yiqun Liu
2025 J jnl
TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation.
CoRR
Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu
2025 A* conf
Understanding the Effect of Opinion Polarization in Short Video Browsing.
SIGIR
Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Qingyao Ai, Yiqun Liu
2025 J jnl
ValueSim: Generating Backstories to Model Individual Value Systems.
CoRR
Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu
2025 J jnl
What Scales in Cross-Entropy Scaling Law?
CoRR
Junxi Yan, Zixi Wei, Jingtao Zhan, Qingyao Ai, Yiqun Liu
2024 J jnl
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
ACM Trans. Inf. Syst.
Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai
2024 — conf
A Situation-aware Enhancer for Personalized Recommendation.
DASFAA (3)
Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, Min Zhang
2024 J jnl
A Situation-aware Enhancer for Personalized Recommendation.
CoRR
Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, Min Zhang
2024 A* conf
An In-depth Investigation of User Response Simulation for Conversational Search.
WWW
Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai
2024 J jnl
An Intent Taxonomy of Legal Case Retrieval.
ACM Trans. Inf. Syst.
Yunqiu Shao, Haitao Li, Yueyue Wu, Yiqun Liu, Qingyao Ai, Jiaxin Mao, Yixiao Ma, Shaoping Ma
2024 A conf
Automatic Large Language Model Evaluation via Peer Review.
CIKM
Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, Yiqun Liu
2024 J jnl
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models.
CoRR
Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian
2024 J jnl
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.
CoRR
Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu
2024 Misc conf
CFE2: Counterfactual Editing for Search Result Explanation.
ICTIR
Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
2024 J jnl
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.
CoRR
Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu
2024 A* conf
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.
SIGIR
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma
2024 J jnl
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.
CoRR
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma
2024 A* conf
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval.
AAAI
Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao
2024 — conf
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.
DASFAA (5)
Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai
2024 J jnl
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.
CoRR
Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai
2024 J jnl
Comparing point-wise and pair-wise relevance judgment with brain signals.
J. Assoc. Inf. Sci. Technol.
Shuqi Zhu, Xiaohui Xie, Ziyi Ye, Qingyao Ai, Yiqun Liu
2024 J jnl
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment.
CoRR
Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu, Chong Chen, Qi Tian
2024 — conf
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models.
ACL (1)
Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun Liu
2024 J jnl
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models.
CoRR
Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun Liu
2024 J jnl
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels.
CoRR
Shuqi Zhu, Ziyi Ye, Qingyao Ai, Yiqun Liu
2024 A* conf
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.
SIGIR
Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu
2024 J jnl
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.
CoRR
Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu
2024 J jnl
Evaluation Ethics of LLMs in Legal Domain.
CoRR
Ruizhe Zhang, Haitao Li, Yueyue Wu, Qingyao Ai, Yiqun Liu, Min Zhang, Shaoping Ma
2024 J jnl
Exploring the Impact of Opinion Polarization on Short Video Consumption.
CoRR
Bangde Du, Ziyi Ye, Zhijing Wu, Qingyao Ai, Yiqun Liu
2024 — conf
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network.
UbiComp Companion
Kaiyuan Zhang, Ziyi Ye, Qingyao Ai, Xiaohui Xie, Yiqun Liu
2024 J jnl
Gender Biased Legal Case Retrieval System on Users' Decision Process.
CoRR
Ruizhe Zhang, Qingyao Ai, Yiqun Liu, Yueyue Wu, Beining Wang
2024 J jnl
Improving Legal Case Retrieval with Brain Signals.
CoRR
Ruizhe Zhang, Qingyao Ai, Ziyi Ye, Yueyue Wu, Xiaohui Xie, Yiqun Liu
2024 J jnl
Incorporating Structural Information into Legal Case Retrieval.
ACM Trans. Inf. Syst.
Yixiao Ma, Yueyue Wu, Qingyao Ai, Yiqun Liu, Yunqiu Shao, Min Zhang, Shaoping Ma
2024 J jnl
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study.
CoRR
Zechun Niu, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen
2024 J jnl
Knowledge Editing through Chain-of-Thought.
CoRR
Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu
2024 J jnl
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.
CoRR
Haitao Li, Qian Dong, Junjie Chen, Huixue Su, Yujia Zhou, Qingyao Ai, Ziyi Ye, Yiqun Liu
2024 A* conf
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.
SIGIR
Haitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu
2024 A conf
LeDQA: A Chinese Legal Case Document-based Question Answering Dataset.
CIKM
Bulou Liu, Zhenhao Zhu, Qingyao Ai, Yiqun Liu, Yueyue Wu
2024 — conf
LeKUBE: A Knowledge Update BEnchmark for Legal Domain.
SIGIR-AP
Changyue Wang, Weihang Su, Yiran Hu, Qingyao Ai, Yueyue Wu, Cheng Luo, Yiqun Liu, Min Zhang, Shaoping Ma
2024 J jnl
LeKUBE: A Legal Knowledge Update BEnchmark.
CoRR
Changyue Wang, Weihang Su, Yiran Hu, Qingyao Ai, Yueyue Wu, Cheng Luo, Yiqun Liu, Min Zhang, Shaoping Ma
2024 J jnl
LegalAgentBench: Evaluating LLM Agents in Legal Domain.
CoRR
Haitao Li, Junjie Chen, Jingli Yang, Qingyao Ai, Wei Jia, Youfeng Liu, Kai Lin, Yueyue Wu, Guozhi Yuan, Yiran Hu, Wuyue Wang, Yiqun Liu, Minlie Huang
2024 A* conf
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.
NeurIPS
Haitao Li, You Chen, Qingyao Ai, Yueyue Wu, Ruizhe Zhang, Yiqun Liu
2024 J jnl
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.
CoRR
Haitao Li, You Chen, Qingyao Ai, Yueyue Wu, Ruizhe Zhang, Yiqun Liu
2024 — conf
Mitigating Entity-Level Hallucination in Large Language Models.
SIGIR-AP
Weihang Su, Yichen Tang, Qingyao Ai, Changyue Wang, Zhijing Wu, Yiqun Liu
2024 J jnl
Mitigating Entity-Level Hallucination in Large Language Models.
CoRR
Weihang Su, Yichen Tang, Qingyao Ai, Changyue Wang, Zhijing Wu, Yiqun Liu
2024 A* conf
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
WWW
Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2024 J jnl
PRE: A Peer Review Based Large Language Model Evaluator.
CoRR
Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, Yiqun Liu
2024 — conf
Prompt Refinement with Image Pivot for Text-to-Image Generation.
ACL (1)
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei
2024 J jnl
Prompt Refinement with Image Pivot for Text-to-Image Generation.
CoRR
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei
2024 J jnl
Query Augmentation by Decoding Semantics from Brain Signals.
CoRR
Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo
2024 A* conf
Query Augmentation with Brain Signals.
ACM Multimedia
Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo
2024 J jnl
Relevance Feedback with Brain Signals.
ACM Trans. Inf. Syst.
Ziyi Ye, Xiaohui Xie, Qingyao Ai, Yiqun Liu, Zhihong Wang, Weihang Su, Min Zhang
2024 — conf
STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals.
EMNLP (Findings)
Weihang Su, Yiran Hu, Anzhe Xie, Qingyao Ai, Quezi Bing, Ning Zheng, Yun Liu, Weixing Shen, Yiqun Liu
2024 J jnl
STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals.
CoRR
Weihang Su, Yiran Hu, Anzhe Xie, Qingyao Ai, Zibing Que, Ning Zheng, Yun Liu, Weixing Shen, Yiqun Liu
2024 A* conf
Scaling Laws For Dense Retrieval.
SIGIR
Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu
2024 J jnl
Scaling Laws For Dense Retrieval.
CoRR
Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu
2024 A* conf
Sequential Recommendation with Latent Relations based on Large Language Model.
SIGIR
Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang
2024 J jnl
Sequential Recommendation with Latent Relations based on Large Language Model.
CoRR
Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang
2024 — conf
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval.
JSAI-isAI
Haitao Li, You Chen, Zhekai Ge, Qingyao Ai, Yiqun Liu, Quan Zhou, Shuai Huo
2024 J jnl
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval.
CoRR
Haitao Li, You Chen, Zhekai Ge, Qingyao Ai, Yiqun Liu, Quan Zhou, Shuai Huo
2024 A* conf
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
SIGIR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2024 A* conf
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.
SIGIR
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2024 — conf
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.
ACL (Findings)
Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu
2024 J jnl
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.
CoRR
Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu
2024 J jnl
Unsupervised dense retrieval with conterfactual contrastive learning.
CoRR
Haitian Chen, Qingyao Ai, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu
2024 A* conf
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval.
AAAI
Weihang Su, Qingyao Ai, Xiangsheng Li, Jia Chen, Yiqun Liu, Xiaolong Wu, Shengluan Hou
2023 J jnl
Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.
CoRR
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2023 J jnl
An In-depth Investigation of User Response Simulation for Conversational Search.
CoRR
Zhenduo Wang, Zhichao Xu, Qingyao Ai, Vivek Srikumar
2023 J jnl
An Intent Taxonomy of Legal Case Retrieval.
CoRR
Yunqiu Shao, Haitao Li, Yueyue Wu, Yiqun Liu, Qingyao Ai, Jiaxin Mao, Yixiao Ma, Shaoping Ma
2023 — ed.
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023
SIGIR-AP
Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel
2023 A* conf
Behavior Modeling for Point of Interest Search.
SIGIR
Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai
2023 A* conf
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding.
EMNLP
Yixiao Ma, Yueyue Wu, Weihang Su, Qingyao Ai, Yiqun Liu
2023 J jnl
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding.
CoRR
Yixiao Ma, Yueyue Wu, Weihang Su, Qingyao Ai, Yiqun Liu
2023 J jnl
Caseformer: Pre-training for Legal Case Retrieval.
CoRR
Weihang Su, Qingyao Ai, Yueyue Wu, Yixiao Ma, Haitao Li, Yiqun Liu
2023 — conf
Chuweb21D: A Deduped English Document Collection for Web Search Tasks.
SIGIR-AP
Zhumin Chu, Tetsuya Sakai, Qingyao Ai, Yiqun Liu
2023 A* conf
Constructing Tree-based Index for Efficient and Effective Dense Retrieval.
SIGIR
Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao
2023 J jnl
Constructing Tree-based Index for Efficient and Effective Dense Retrieval.
CoRR
Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao
2023 J jnl
Counterfactual Editing for Search Result Explanation.
CoRR
Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
2023 J jnl
Diverse legal case search.
CoRR
Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu
2023 — conf
EVIA 2023 Preface.
EVIA
Qingyao Ai, Douglas W. Oard
2023 A conf
FARA: Future-aware Ranking Algorithm for Fairness Optimization.
CIKM
Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai
2023 J jnl
FARA: Future-aware Ranking Algorithm for Fairness Optimization.
CoRR
Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai
2023 J jnl
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network.
CoRR
Kaiyuan Zhang, Ziyi Ye, Qingyao Ai, Xiaohui Xie, Yiqun Liu
2023 A conf
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
CIKM
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023 J jnl
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
CoRR
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023 J jnl
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.
CoRR
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023 J jnl
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023 — conf
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process.
SIGIR-AP
Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang, Yiqun Liu
2023 J jnl
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process.
CoRR
Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang, Yiqun Liu
2023 J jnl
Language Generation from Human Brain Activities.
CoRR
Ziyi Ye, Qingyao Ai, Yiqun Liu, Min Zhang, Christina Lioma, Tuukka Ruotsalo
2023 J jnl
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.
CoRR
Haitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu
2023 A conf
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval.
CIKM
Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen
2023 A conf
Marginal-Certainty-Aware Fair Ranking Algorithm.
WSDM
Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
2023 A* conf
Metric-agnostic Ranking Optimization.
SIGIR
Qingyao Ai, Xuanhui Wang, Michael Bendersky
2023 J jnl
Metric-agnostic Ranking Optimization.
CoRR
Qingyao Ai, Xuanhui Wang, Michael Bendersky
2023 J jnl
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
CoRR
Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2023 A conf
Model-based Unbiased Learning to Rank.
WSDM
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2023 — conf
Overview of the NTCIR-17 Session Search (SS-2) Task.
NTCIR
Haitao Li, Jia Chen, Jiannan Wang, Weihang Su, Qingyao Ai, Xinyan Han, Beining Wang, Yiqun Liu
2023 — conf
Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task.
NTCIR
Zechun Niu, Jiaxin Mao, Qingyao Ai, Lixin Zou, Shuaiqiang Wang, Dawei Yin
2023 J jnl
Relevance Feedback with Brain Signals.
CoRR
Ziyi Ye, Xiaohui Xie, Qingyao Ai, Yiqun Liu, Zhihong Wang, Weihang Su, Min Zhang
2023 — conf
Result Diversification for Legal case Retrieval.
SIGIR-AP
Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu
2023 J jnl
Reward-free Policy Imitation Learning for Conversational Search.
CoRR
Zhenduo Wang, Zhichao Xu, Qingyao Ai
2023 A* conf
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.
SIGIR
Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian
2023 J jnl
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.
CoRR
Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian
2023 J jnl
THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank.
CoRR
Jia Chen, Haitao Li, Weihang Su, Qingyao Ai, Yiqun Liu
2023 — conf
THUIR at the NTCIR-17 FairWeb-1 Task: An Initial Exploration of the Relationship Between Relevance and Fairness.
NTCIR
Yiteng Tu, Haitao Li, Zhumin Chu, Qingyao Ai, Yiqun Liu
2023 J jnl
THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval.
CoRR
Haitao Li, Weihang Su, Changyue Wang, Yueyue Wu, Qingyao Ai, Yiqun Liu
2023 J jnl
THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment.
CoRR
Haitao Li, Changyue Wang, Weihang Su, Yueyue Wu, Qingyao Ai, Yiqun Liu
2023 — conf
THUIR_SS at the NTCIR-17 Session Search (SS) Task.
NTCIR
Xinyan Han, Yiteng Tu, Haitao Li, Qingyao Ai, Yiqun Liu
2023 J jnl
Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank.
CoRR
Haitao Li, Jia Chen, Weihang Su, Qingyao Ai, Yiqun Liu
2023 J jnl
Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2023 — conf
Vertical Allocation-based Fair Exposure Amortizing in Ranking.
SIGIR-AP
Tao Yang, Zhichao Xu, Qingyao Ai
2023 J jnl
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval.
CoRR
Weihang Su, Qingyao Ai, Xiangsheng Li, Jia Chen, Yiqun Liu, Xiaolong Wu, Shengluan Hou
2023 A* conf
Zero-shot Clarifying Question Generation for Conversational Search.
WWW
Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai
2023 J jnl
Zero-shot Clarifying Question Generation for Conversational Search.
CoRR
Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai
2022 A* conf
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank.
SIGIR
Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai
2022 J jnl
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval.
CoRR
Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma
2022 J jnl
Effective Exposure Amortizing for Fair Top-k Recommendation.
CoRR
Tao Yang, Zhichao Xu, Qingyao Ai
2022 A conf
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
CIKM
Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng
2022 J jnl
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
CoRR
Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng
2022 A* conf
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search.
SIGIR
Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang, Shaoping Ma
2022 J jnl
Learning to Rank Rationales for Explainable Recommendation.
CoRR
Zhichao Xu, Yi Han, Tao Yang, Anh Tran, Qingyao Ai
2022 J jnl
Marginal-Certainty-aware Fair Ranking Algorithm.
CoRR
Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
2022 J jnl
Model-based Unbiased Learning to Rank.
CoRR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2022 — conf
Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task.
NTCIR
Yurou Zhao, Zechun Niu, Feng Wang, Jiaxin Mao, Qingyao Ai, Tao Yang, Junqi Zhang, Yiqun Liu
2022 J jnl
Reinforcement Learning to Rank with Coarse-grained Labels.
CoRR
Zhichao Xu, Anh Tran, Tao Yang, Qingyao Ai
2022 J jnl
Simulating and Modeling the Risk of Conversational Search.
CoRR
Zhenduo Wang, Qingyao Ai
2022 J jnl
Simulating and Modeling the Risk of Conversational Search.
ACM Trans. Inf. Syst.
Zhenduo Wang, Qingyao Ai
2022 — conf
UTIRL at the NTCIR-16 ULTRE Task.
NTCIR
Anh Tran, Tao Yang, Qingyao Ai
2021 A* conf
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.
KDD
Xiaoqiang Zhu, Kuang-Chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang
2021 J jnl
A Neural Passage Model for Ad-hoc Document Retrieval.
CoRR
Qingyao Ai, Brendan O'Connor, W. Bruce Croft
2021 — conf
A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System.
ECIR (1)
Hansi Zeng, Zhichao Xu, Qingyao Ai
2021 J jnl
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System.
CoRR
Hansi Zeng, Zhichao Xu, Qingyao Ai
2021 Misc conf
Asking Clarifying Questions Based on Negative Feedback in Conversational Search.
ICTIR
Keping Bi, Qingyao Ai, W. Bruce Croft
2021 J jnl
Asking Clarifying Questions Based on Negative Feedback in Conversational Search.
CoRR
Keping Bi, Qingyao Ai, W. Bruce Croft
2021 A* conf
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.
SIGIR
Liang Pang, Qingyao Ai, Jun Xu
2021 A conf
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.
WSDM
Liang Pang, Qingyao Ai, Jun Xu
2021 A* conf
Controlling the Risk of Conversational Search via Reinforcement Learning.
WWW
Zhenduo Wang, Qingyao Ai
2021 J jnl
Controlling the Risk of Conversational Search via Reinforcement Learning.
CoRR
Zhenduo Wang, Qingyao Ai
2021 A* conf
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.
SIGIR
Keping Bi, Qingyao Ai, W. Bruce Croft
2021 A* conf
Maximizing Marginal Fairness for Dynamic Learning to Rank.
WWW
Tao Yang, Qingyao Ai
2021 J jnl
Maximizing Marginal Fairness for Dynamic Learning to Rank.
CoRR
Tao Yang, Qingyao Ai
2021 A conf
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search.
CIKM
Qingyao Ai, Lakshmi Narayanan Ramasamy
2021 J jnl
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search.
CoRR
Qingyao Ai, Lakshmi Narayanan Ramasamy
2021 Misc conf
Session details: Session 1A - Ranking (1).
ICTIR
Qingyao Ai
2021 A conf
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox.
CIKM
Anh Tran, Tao Yang, Qingyao Ai
2021 J jnl
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox.
CoRR
Anh Tran, Tao Yang, Qingyao Ai
2021 — conf
ULTRE Framework: a Framework for Unbiased Learning to Rank Evaluation based on Simulation of User Behavior.
CSR-Sim4IR@SIGIR
Yurou Zhao, Jiaxin Mao, Qingyao Ai
2021 J jnl
Unbiased Learning to Rank: Online or Offline?
ACM Trans. Inf. Syst.
Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
2021 Misc conf
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation.
ICTIR
Zhichao Xu, Hansi Zeng, Qingyao Ai
2021 J jnl
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation.
CoRR
Zhichao Xu, Hansi Zeng, Qingyao Ai
2020 J jnl
A Deep Look into neural ranking models for information retrieval.
Inf. Process. Manag.
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
2020 J jnl
A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems.
CoRR
Hansi Zeng, Qingyao Ai
2020 J jnl
A Review-based Transformer Model for Personalized Product Search.
CoRR
Keping Bi, Qingyao Ai, W. Bruce Croft
2020 A* conf
A Transformer-based Embedding Model for Personalized Product Search.
SIGIR
Keping Bi, Qingyao Ai, W. Bruce Croft
2020 J jnl
A Transformer-based Embedding Model for Personalized Product Search.
CoRR
Keping Bi, Qingyao Ai, W. Bruce Croft
2020 A conf
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.
CIKM
Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020 J jnl
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.
CoRR
Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020 A conf
E-commerce Recommendation with Weighted Expected Utility.
CIKM
Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
2020 J jnl
E-commerce Recommendation with Weighted Expected Utility.
CoRR
Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
2020 J jnl
Explainable Product Search with a Dynamic Relation Embedding Model.
ACM Trans. Inf. Syst.
Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft
2020 J jnl
Review Regularized Neural Collaborative Filtering.
CoRR
Zhimeng Pan, Wenzheng Tao, Qingyao Ai
2020 A* conf
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
SIGIR
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2020 J jnl
Unbiased Learning to Rank: Online or Offline?
CoRR
Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
2019 J jnl
A Deep Look into Neural Ranking Models for Information Retrieval.
CoRR
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
2019 A conf
A Zero Attention Model for Personalized Product Search.
CIKM
Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft
2019 J jnl
A Zero Attention Model for Personalized Product Search.
CoRR
Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft
2019 A conf
Conversational Product Search Based on Negative Feedback.
CIKM
Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft
2019 J jnl
Conversational Product Search Based on Negative Feedback.
CoRR
Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft
2019 A conf
Correcting for Recency Bias in Job Recommendation.
CIKM
Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft
2019 A conf
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
WSDM
Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
2019 J jnl
Explainable Product Search with a Dynamic Relation Embedding Model.
CoRR
Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft
2019 A conf
Improving Web Image Search with Contextual Information.
CIKM
Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma
2019 J jnl
Investigating Weak Supervision in Deep Ranking.
Data Inf. Manag.
Yukun Zheng, Yiqun Liu, Zhen Fan, Cheng Luo, Qingyao Ai, Min Zhang, Shaoping Ma
2019 — conf
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match.
ECIR (1)
Keping Bi, Qingyao Ai, W. Bruce Croft
2019 Misc conf
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks.
ICTIR
Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork
2019 J jnl
Neural generative models and representation learning for information retrieval.
SIGIR Forum
Qingyao Ai
2019 A* conf
SIGIR 2019 Tutorial on Explainable Recommendation and Search.
SIGIR
Yongfeng Zhang, Jiaxin Mao, Qingyao Ai
2019 J jnl
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
CoRR
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2019 — conf
WWW'19 Tutorial on Explainable Recommendation and Search.
WWW (Companion Volume)
Yongfeng Zhang, Jiaxin Mao, Qingyao Ai
2018 A conf
A Neural Passage Model for Ad-hoc Document Retrieval.
ECIR
Qingyao Ai, Brendan O'Connor, W. Bruce Croft
2018 J jnl
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match.
CoRR
Keping Bi, Qingyao Ai, W. Bruce Croft
2018 J jnl
Learning Groupwise Scoring Functions Using Deep Neural Networks.
CoRR
Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork
2018 J jnl
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
Algorithms
Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang
2018 J jnl
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
CoRR
Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang
2018 A* conf
Learning a Deep Listwise Context Model for Ranking Refinement.
SIGIR
Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft
2018 J jnl
Learning a Deep Listwise Context Model for Ranking Refinement.
CoRR
Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft
2018 J jnl
Learning over Knowledge-Base Embeddings for Recommendation.
CoRR
Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang
2018 J jnl
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval.
CoRR
Keping Bi, Qingyao Ai, W. Bruce Croft
2018 A conf
Towards Conversational Search and Recommendation: System Ask, User Respond.
CIKM
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft
2018 A* conf
Unbiased Learning to Rank with Unbiased Propensity Estimation.
SIGIR
Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft
2018 J jnl
Unbiased Learning to Rank with Unbiased Propensity Estimation.
CoRR
Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft
2018 A conf
Unbiased Learning to Rank: Theory and Practice.
CIKM
Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft
2018 Misc conf
Unbiased Learning to Rank: Theory and Practice.
ICTIR
Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft
2018 J jnl
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model.
CoRR
Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft
2017 J jnl
A Deep Relevance Matching Model for Ad-hoc Retrieval.
CoRR
Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft
2017 A* conf
Characterizing Email Search using Large-scale Behavioral Logs and Surveys.
WWW
Qingyao Ai, Susan T. Dumais, Nick Craswell, Daniel J. Liebling
2017 J jnl
Enhancing click models with mouse movement information.
Inf. Retr. J.
Zeyang Liu, Jiaxin Mao, Chao Wang, Qingyao Ai, Yiqun Liu, Jian-Yun Nie
2017 A conf
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.
CIKM
Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft
2017 B conf
Large-Scale Analysis of Email Search and Organizational Strategies.
CHIIR
Kanika Narang, Susan T. Dumais, Nick Craswell, Daniel J. Liebling, Qingyao Ai
2017 A* conf
Learning a Hierarchical Embedding Model for Personalized Product Search.
SIGIR
Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft
2017 A* conf
Personalized Key Frame Recommendation.
SIGIR
Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin
2017 — conf
UMass at TREC 2017 Common Core Track.
TREC
Qingyao Ai, Hamed Zamani, Stephen M. Harding, Shahrzad Naseri, James Allan, W. Bruce Croft
2016 A conf
A Deep Relevance Matching Model for Ad-hoc Retrieval.
CIKM
Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft
2016 J jnl
Adaptability of Neural Networks on Varying Granularity IR Tasks.
CoRR
Daniel Cohen, Qingyao Ai, W. Bruce Croft
2016 Misc conf
Analysis of the Paragraph Vector Model for Information Retrieval.
ICTIR
Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft
2016 A conf
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval.
ECIR
Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer
2016 A* conf
Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval.
SIGIR
Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft
2016 A conf
Semantic Matching by Non-Linear Word Transportation for Information Retrieval.
CIKM
Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft
2016 A conf
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model.
CIKM
Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft
2015 A conf
An Optimization Framework for Merging Multiple Result Lists.
CIKM
Chia-Jung Lee, Qingyao Ai, W. Bruce Croft, Daniel Sheldon