Qingyao Ai

Orcid: 0000-0002-5030-709X

According to our database1, Qingyao Ai authored at least 138 papers between 2015 and 2024.

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Bibliography

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

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

LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.
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

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.
CoRR, 2024

A Situation-aware Enhancer for Personalized Recommendation.
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

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

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.
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


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