Weiming Lu
副教授
Works on NLP including information extraction, knowledge graphs and question answering, plus large models, agents and digital libraries.
Weiming Lu's lab at Zhejiang works on knowledge, QA & retrieval, large language models and graph mining & networks. 66 papers since 2023, 45 at top venues, mostly ACL and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 68%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 18 papers2026 · T1 15 · collecting
- 16 papers2025 · T1 10
- 16 papers2024 · T1 11
- 16 papers2023 · T1 9
T1 venuesOtherVenues: ACL, EMNLP, Findings of ACL, AAAI, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models24 papers
- Knowledge, QA & retrieval5 papers
- Graph mining & networks2 papers
- digital libraries0 papers
- libraries0 papers
Paper list
From DBLP.
202618 papers
- ACL (T1)AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMs (opens in a new tab)
- ACL (T1)CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution (opens in a new tab)
- ACL (T1)Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks (opens in a new tab)
- ACL (T1)Experience-driven Multi-turn Reinforcement Learning for GUI Agents (opens in a new tab)
- AAAI (T1)GUI-G²: Gaussian Reward Modeling for GUI Grounding (opens in a new tab)
- CVPR (T1)GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning (opens in a new tab)
- ECCV (T1)Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding (opens in a new tab)
- ACL (T1)Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning (opens in a new tab)
- Findings of ACLPause or Fabricate? Training Language Models for Grounded Reasoning (opens in a new tab)
- ACL (T1)Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese (opens in a new tab)
- AAAI (T1)Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM's Theory of Mind in Egocentric Videos (opens in a new tab)
- ACL (T1)Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts (opens in a new tab)
202516 papers
- ICCV (T1)2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining (opens in a new tab)
- EMNLP (T1)AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification (opens in a new tab)
- NLPCCBias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting (opens in a new tab)
- Findings of EMNLPDB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL (opens in a new tab)
- EMNLP (T1)Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training (opens in a new tab)
- ACL (T1)From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning (opens in a new tab)
- AAAI (T1)G2LDetect: A Global-to-Local Approach for Hallucination Detection (opens in a new tab)
- NAACL (T1)Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification (opens in a new tab)
- NeurIPS (T1)Let LRMs Break Free from Overthinking via Self-Braking Tuning (opens in a new tab)
- Findings of EMNLPLogic: Long-form Outline Generation via Imitative and Critical Self-refinement (opens in a new tab)
- NeurIPS (T1)Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning (opens in a new tab)
- IJCNLP-AACLProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses (opens in a new tab)
202416 papers
- EMNLP (T1)Advancing Process Verification for Large Language Models via Tree-Based Preference Learning (opens in a new tab)
- ACL (T1)Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization (opens in a new tab)
- Findings of ACLChain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning (opens in a new tab)
- AAAI (T1)De-biased Attention Supervision for Text Classification with Causality (opens in a new tab)
- NeurIPS (T1)Information Re-Organization Improves Reasoning in Large Language Models (opens in a new tab)
- ACL (T1)Insert or Attach: Taxonomy Completion via Box Embedding (opens in a new tab)
- ACL (T1)Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning (opens in a new tab)
- EMNLP (T1)Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model (opens in a new tab)
- Findings of ACLProgressive Tuning: Towards Generic Sentiment Abilities for Large Language Models (opens in a new tab)
- ACL (T1)Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives (opens in a new tab)
- ICASSP (T1)Shapley Value Guided Extractive Text Summarization (opens in a new tab)
- IEEE ACM Trans. Audio Speech Lang. Process.Specialized Mathematical Solving by a Step-By-Step Expression Chain Generation (opens in a new tab)
202316 papers
- Findings of ACLA Set Prediction Network For Extractive Summarization (opens in a new tab)
- EMNLP (T1)An Expression Tree Decoding Strategy for Mathematical Equation Generation (opens in a new tab)
- SemEval@ACLDAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition (opens in a new tab)
- ACL (T1)DiffusionNER: Boundary Diffusion for Named Entity Recognition (opens in a new tab)
- Findings of EMNLPEnhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization (opens in a new tab)
- Findings of ACLFocus-aware Response Generation in Inquiry Conversation (opens in a new tab)
- Findings of EMNLPGood Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages (opens in a new tab)
- BIBMGraph Neural Networks with Geometric Edge Fusion and Point Downsampling for Drug-Target Interaction Prediction (opens in a new tab)
- NeurIPS (T1)HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face (opens in a new tab)
- SIGIR (T1)ML-LJP: Multi-Law Aware Legal Judgment Prediction (opens in a new tab)
- EMNLP (T1)MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition (opens in a new tab)
- IEEE ACM Trans. Comput. Biol. Bioinform.Multi-Label Classification With Dual Tail-Node Augmentation for Drug Repositioning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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