Minlie Huang
Professor, PhD
Works on natural language processing, including dialogue systems, language generation, question answering, and sentiment analysis.
Minlie Huang's lab at Tsinghua works on dialogue, generation & summarization and knowledge, QA & retrieval. 89 papers since 2023, 68 at top venues, mostly ACL and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 23/ year
- at T1 venues
- 76%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 17 papers2026 · T1 14 · collecting
- 21 papers2025 · T1 16
- 25 papers2024 · T1 20
- 26 papers2023 · T1 18
T1 venuesOtherVenues: ACL, ICLR, EMNLP, Findings of ACL, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Dialogue, generation & summarization14 papers
- Knowledge, QA & retrieval9 papers
- dialogue3 papers
- dialogue systems1 paper
- language generation1 paper
Paper list
From the lab homepage.
202617 papers
- ICLR (T1)BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
- ICLR (T1)Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen
- ACL (T1)Data Efficient RLVR via Off-Policy Influence Guidance
- ACL (T1)Glyph: Scaling Context Windows via Text Visualization
- ACL (T1)Holistic Evaluation for LLM’s Capability in Human-level Writing using Tree of Writing
- ACL (T1)How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
- ACL (T1)IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
- ACL (T1)IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
- ACL (T1)LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
- ACL (T1)New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs
- EMNLP Demonstration TrackPatientAct: Theory-Grounded Mental Health Client Simulation
- Findings of EMNLPPatientHub: A Unified Framework for Patient Simulation
202521 papers
- AAAI (T1)CharacterBench: Benchmarking Character Customization of Large Language Models
- EMNLP (T1)Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues
- ICLR (T1)Data Selection via Optional Training for Language Models
- ACL (T1)Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints
- Findings of ACLHPSS: Heuristic Prompting Strategy Search for LLM Evaluator
- ACM MMJPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
- ICLR (T1)Language Models Learn to Mislead Humans via RLHF
- ACL (T1)LongSafety: Evaluating Long-Context Safety of Large Language Models
- Findings of ACLMAGI: Multi-Agent Guided Interview for Psychiatric Assessment
- ICLR (T1)MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
- ICLR (T1)MiniPLM: Knowledge Distillation for Pre-Training Language Models
- ACL (T1)Model Extrapolation Expedites Alignment
202425 papers
- ACL (T1)AlignBench: Benchmarking Chinese Alignment of Large Language Models (with Prof. Jie Tang)
- NeurIPS (T1)AMoR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
- EMNLP (T1)ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings (with Prof. Lei Sha)
- Findings of EMNLPAUTODETECT: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
- NeurIPS D&B TrackBenchmarking Complex Instruction-Following with Multiple Constraints Composition
- ACL (T1)Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
- EMNLP industry trackCharacterGLM: Customizing Social Characters with Large Language Models
- ACL (T1)COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
- ACL (T1)CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
- ACL (T1)Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
- NAACL (T1)Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph
- ACL (T1)EmoBench: Evaluating the Emotional Intelligence of Large Language Models
202326 papers
- Findings of ACLAugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
- TACL (T1)Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing
- EMNLP (T1)Building Multi-domain Dialog State Trackers from Single-domain Dialogs
- ACL (T1)CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
- Findings of ACLClick: Controllable Text Generation with Sequence Likelihood Contrastive Learning
- ACL (T1)DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering
- TACL (T1)Directed acyclic transformer pre-training for high-quality non-autoregressive text generation
- EMNLP (T1)Enhancing Long-form Text Generation in Mental Health with Task-adaptive Tokenization
- ResearchEnhancing Offensive Language Detection with Data Augmentation and Knowledge Distillation
- Findings of EMNLPEnhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
- ACL (T1)Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
- ACL (T1)Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
Where alumni went
Alumni are not listed on the lab homepage.
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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