About Me
- Hello, I’m Wei Liu (刘维). Welcome to my blog (loading... views). Here are my Email, Github, and Google Scholar.
- 2014-2018: Bachelor of Communication Engineering in BUPT
- 2018-2021: Master of Computer Engineering in CIST Lab@BUPT
- 2021-2023: Application Research, Tencent
- 2023.8-2025.1: Working at THUNLP with Prof. Zhiyuan Liu with a focus on LLM Multi-Agent System.
- See my works here.
- Our LLM Multi-Agent framework, ChatDev, has reached Github #1 for 3 times and has earned 26k 🌟!
- 2024.9 Our paper about human-agent coexist society, iAgents, is accepted by NeurIPS 2024!. Try demo here.
- 2025.2 Proud to be a PhD advised by Prof. Yulan He and a member of KCLNLP!.
Research Interests
- Natural Language Generation, especially on Compressing and Summarizing Languages.
- Memorization and reasoning in LLMs.
- Develop robust, safe, efficient, and human-centric LLM Multi-Agent System.
- Served as reviewer for ACL(2021,2022,2024)/EMNLP(2020,2023,2024)/NeurIPS(2024)/ICLR(2024)/CVPR(2025).
Industrial Experience
- At Tencent, I aim to improve the performance of News Feed Recommendations and Advertising.
- Improving the NLU ability for News Feed Recommendation.
- Resolving the mismatch between commercial inclinations and content interests for Wechat Ads.
- Stability, Warm-Up, Efficiency-Quality Tradeoff, Interpretability & Explainability on Large Recommendation System.
- Diverse user interest modeling.
Publications
- Multi-Agents powered by LLMs:
- paper code Autonomous Agents for Collaborative Task under Information Asymmetry. NeurIPS 2024
- paper code Scaling Large-Language-Model-based Multi-Agent Collaboration. ICLR 2025
- paper code Communicative Agents for Software Development. ACL 2024
- paper code Experiential Co-Learning of Software-Developing Agents. ACL 2024
- paper code Iterative Experience Refinement of Software-Developing Agents. Arxiv
- paper code Multi-Agent Software Development through Cross-Team Collaboration. Arxiv
- More Accurate and Controllable Keyphrase Prediction:
- More Comprehensive and Factual Summarization:
- paper code In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. CoNLL 2021
- paper code Subjective Bias in Abstractive Summarization. Arxiv
- paper code CO2Sum: Contrastive Learning for Factual-Consistent Abstractive Summarization. Arxiv
- paper code Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus. RANLP 2019 workshop
- paper A Multi-View Abstractive Summarization Model Jointly Considering Semantics and Sentiment. CCIS 2018
- paper CIST@CLSciSumm-19: Automatic Scientific Paper Summarization with Citances and Facets. SIGIR 2019 workhop
- paper CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization. EMNLP 2020 workshop