2025
Improving GenIR Systems Based on User Feedback.
CoRR, January, 2025
2024
Comparing point-wise and pair-wise relevance judgment with brain signals.
J. Assoc. Inf. Sci. Technol., September, 2024
Relevance Feedback with Brain Signals.
ACM Trans. Inf. Syst., July, 2024
An Intent Taxonomy of Legal Case Retrieval.
ACM Trans. Inf. Syst., March, 2024
Incorporating Structural Information into Legal Case Retrieval.
ACM Trans. Inf. Syst., March, 2024
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
ACM Trans. Inf. Syst., January, 2024
Unsupervised dense retrieval with conterfactual contrastive learning.
CoRR, 2024
Knowledge Editing through Chain-of-Thought.
CoRR, 2024
LegalAgentBench: Evaluating LLM Agents in Legal Domain.
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CoRR, 2024
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.
CoRR, 2024
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.
CoRR, 2024
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.
CoRR, 2024
LeKUBE: A Legal Knowledge Update BEnchmark.
CoRR, 2024
STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals.
CoRR, 2024
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels.
CoRR, 2024
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study.
CoRR, 2024
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment.
CoRR, 2024
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models.
CoRR, 2024
Improving Legal Case Retrieval with Brain Signals.
CoRR, 2024
Evaluation Ethics of LLMs in Legal Domain.
CoRR, 2024
Exploring the Impact of Opinion Polarization on Short Video Consumption.
CoRR, 2024
Gender Biased Legal Case Retrieval System on Users' Decision Process.
CoRR, 2024
Query Augmentation by Decoding Semantics from Brain Signals.
CoRR, 2024
PRE: A Peer Review Based Large Language Model Evaluator.
CoRR, 2024
An In-depth Investigation of User Response Simulation for Conversational Search.
Proceedings of the ACM on Web Conference 2024, 2024
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.
Proceedings of the ACM on Web Conference 2024, 2024
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Sequential Recommendation with Latent Relations based on Large Language Model.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Scaling Laws For Dense Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
LeKUBE: A Knowledge Update BEnchmark for Legal Domain.
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024
Mitigating Entity-Level Hallucination in Large Language Models.
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Query Augmentation with Brain Signals.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval.
Proceedings of the New Frontiers in Artificial Intelligence, 2024
CFE2: Counterfactual Editing for Search Result Explanation.
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.
Proceedings of the Database Systems for Advanced Applications, 2024
A Situation-aware Enhancer for Personalized Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024
LeDQA: A Chinese Legal Case Document-based Question Answering Dataset.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Automatic Large Language Model Evaluation via Peer Review.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Prompt Refinement with Image Pivot for Text-to-Image Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
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AI Open, January, 2023
Language Generation from Human Brain Activities.
CoRR, 2023
Caseformer: Pre-training for Legal Case Retrieval.
CoRR, 2023
Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.
CoRR, 2023
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network.
CoRR, 2023
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
CoRR, 2023
Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR, 2023
THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment.
CoRR, 2023
THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval.
CoRR, 2023
THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank.
CoRR, 2023
Reward-free Policy Imitation Learning for Conversational Search.
CoRR, 2023
Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank.
CoRR, 2023
Diverse legal case search.
CoRR, 2023
Counterfactual Editing for Search Result Explanation.
CoRR, 2023
Zero-shot Clarifying Question Generation for Conversational Search.
Proceedings of the ACM Web Conference 2023, 2023
Marginal-Certainty-Aware Fair Ranking Algorithm.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Model-based Unbiased Learning to Rank.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Constructing Tree-based Index for Efficient and Effective Dense Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Behavior Modeling for Point of Interest Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Metric-agnostic Ranking Optimization.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
Chuweb21D: A Deduped English Document Collection for Web Search Tasks.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
Vertical Allocation-based Fair Exposure Amortizing in Ranking.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
Result Diversification for Legal case Retrieval.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
FARA: Future-aware Ranking Algorithm for Fairness Optimization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Simulating and Modeling the Risk of Conversational Search.
ACM Trans. Inf. Syst., 2022
Reinforcement Learning to Rank with Coarse-grained Labels.
CoRR, 2022
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval.
CoRR, 2022
Learning to Rank Rationales for Explainable Recommendation.
CoRR, 2022
Effective Exposure Amortizing for Fair Top-k Recommendation.
CoRR, 2022
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Unbiased Learning to Rank: Online or Offline?
ACM Trans. Inf. Syst., 2021
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System.
CoRR, 2021
Maximizing Marginal Fairness for Dynamic Learning to Rank.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Controlling the Risk of Conversational Search via Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021
Asking Clarifying Questions Based on Negative Feedback in Conversational Search.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021
Session details: Session 1A - Ranking (1).
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021
A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System.
Proceedings of the Advances in Information Retrieval, 2021
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Explainable Product Search with a Dynamic Relation Embedding Model.
ACM Trans. Inf. Syst., 2020
A Deep Look into neural ranking models for information retrieval.
Inf. Process. Manag., 2020
A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems.
CoRR, 2020
Review Regularized Neural Collaborative Filtering.
CoRR, 2020
A Review-based Transformer Model for Personalized Product Search.
CoRR, 2020
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
A Transformer-based Embedding Model for Personalized Product Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
E-commerce Recommendation with Weighted Expected Utility.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Neural generative models and representation learning for information retrieval.
SIGIR Forum, 2019
Investigating Weak Supervision in Deep Ranking.
Data Inf. Manag., 2019
WWW'19 Tutorial on Explainable Recommendation and Search.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
SIGIR 2019 Tutorial on Explainable Recommendation and Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match.
Proceedings of the Advances in Information Retrieval, 2019
Improving Web Image Search with Contextual Information.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Correcting for Recency Bias in Job Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Conversational Product Search Based on Negative Feedback.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
A Zero Attention Model for Personalized Product Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval.
CoRR, 2018
Learning Groupwise Scoring Functions Using Deep Neural Networks.
CoRR, 2018
Learning over Knowledge-Base Embeddings for Recommendation.
CoRR, 2018
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
Algorithms, 2018
Unbiased Learning to Rank with Unbiased Propensity Estimation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Learning a Deep Listwise Context Model for Ranking Refinement.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
A Neural Passage Model for Ad-hoc Document Retrieval.
Proceedings of the Advances in Information Retrieval, 2018
Towards Conversational Search and Recommendation: System Ask, User Respond.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Unbiased Learning to Rank: Theory and Practice.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Enhancing click models with mouse movement information.
Inf. Retr. J., 2017
Characterizing Email Search using Large-scale Behavioral Logs and Surveys.
Proceedings of the 26th International Conference on World Wide Web, 2017
UMass at TREC 2017 Common Core Track.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017
Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Learning a Hierarchical Embedding Model for Personalized Product Search.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Large-Scale Analysis of Email Search and Organizational Strategies.
Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017
2016
Adaptability of Neural Networks on Varying Granularity IR Tasks.
CoRR, 2016
Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Analysis of the Paragraph Vector Model for Information Retrieval.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval.
Proceedings of the Advances in Information Retrieval, 2016
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Semantic Matching by Non-Linear Word Transportation for Information Retrieval.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
A Deep Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
An Optimization Framework for Merging Multiple Result Lists.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015