Yiqun Liu
Professor
Works on web information retrieval, user behavior analysis for search, and natural language processing.
Yiqun Liu's lab at Tsinghua works on knowledge, QA & retrieval and recommendation, search & web. 92 papers since 2023, 70 at top venues, mostly SIGIR and EMNLP. 31 PhD students and 5 master's students. 41 alumni. Applications close .
At a glance
- papers, 2023–2026
- 24/ year
- at T1 venues
- 76%
- PhD students
- 31
- MS students
- 5
- alumni listed
- 41
Papers by yearfrom the lab homepage, 2023–2026
- 26 papers2026 · T1 26 · collecting
- 23 papers2025 · T1 18
- 22 papers2024 · T1 16
- 21 papers2023 · T1 10
T1 venuesOtherVenues: SIGIR, EMNLP, ACL, TOIS, AAAI
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval38 papers
- Recommendation, search & web16 papers
- user5 papers
- user behavior1 paper
- behavior analysis0 papers
Paper list
From the lab homepage.
202626 papers
- SIGIR (T1)Analytical Search
- AAAI (T1)Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation
- EMNLP (T1)Benchmarking LLM-as-a-Judge for Long-Form Output Evaluation
- ACL (T1)Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
- ACL (T1)Chinese Court Simulation with LLM-Based Agents System
- SIGIR (T1)Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization
- SIGIR (T1)Equity vs
- WWW (T1)Generalized Pseudo-Relevance Feedback
- ICML (T1)How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
- AAAI (T1)Investigating Prosocial Behavior Theory in LLM Agents under Policy-Induced Inequities
- AAAI (T1)Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
- WWW (T1)LegalKit: A Modular Toolkit for Efficient Legal AI Evaluation
202523 papers
- EMNLP (T1)Augmenting Multi-Agent Communication with State Delta Trajectory
- ICLR (T1)Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
- AAAI (T1)BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
- SIGIR (T1)Brain Image Reconstruction with Retrieval-Augmented Diffusion
- ACL (T1)CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
- TOISCaseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
- WWW (T1)Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention
- ACL (T1)Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
- AAAI (T1)DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
- Scientific ReportsEEG reveals the cognitive impact of polarized content in short video scenarios
- Information Access in the Era of Generative AIFoundations of Generative Information Retrieval
- TOISGenerating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge
202422 papers
- CIKM (T1)Automatic Large Language Model Evaluation via Peer Review
- SIGIR (T1)Capability-aware Prompt Reformulation Learning for Text-to-Image Generation
- AAAI (T1)Combining Multiple Supervision for Robust Zero-shot Dense Retrieval
- DASFAACommon Sense Enhanced Knowledge-based Recommendation with Large Language Model
- JASISTComparing Point-wise and Pair-wise Relevance Judgment with Brain Signals
- ACL (T1)DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
- SIGIR (T1)EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation
- SIGIR (T1)LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset
- CIKM (T1)LeDQA:AChinese Legal Case Document-based Question Answering Dataset
- SIGIR-APLeKUBE: A Legal Knowledge Update BEnchmark
- NeurIPS (T1)LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
- SIGIR-APMitigating Entity-Level Hallucination in Large Language Models
202321 papers
- TOISA Survey on the Fairness of Recommender Systems
- SIGIR (T1)A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
- TOISAn Intent Taxonomy of Legal Case Retrieval
- SIGIR (T1)Behavior Modeling for Point of Interest Search
- EMNLP (T1)CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
- SIGIR-APChuweb21D: A Deduped English Document Collection for Web Search Tasks
- ICDMCollaborative Word-based Pre-trained Item Representation for Transferable Recommendation
- SIGIR (T1)Constructing Tree-based Index for Efficient and Effective Dense Retrieval
- CIKM (T1)I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
- TOISIncorporating Structural Information into Legal Case Retrieval
- ECIRInvestigating Conversational Agent Action in Legal Case Retrieval
- SIGIR-APInvestigating the Influence of Legal Case Retrieval Systems on Users' Decision Process
Where alumni went41 listed
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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