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2023.5 at XiaMen

About Me

• Hello, I'm Wei Liu (刘维). Here are my Email , Github , and Google Scholar . I am now actively looking for PhD positions and job positions (NLP/LLM/Agent), feel free to contact me~
  • 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-present: 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.

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).

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 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 Scaling Large-Language-Model-based Multi-Agent Collaboration. Arxiv
  • paper code Multi-Agent Software Development through Cross-Team Collaboration. Arxiv
• More Accurate and Controllable Keyphrase Prediction:
  • paper code UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction. ACL 2021 findings
  • paper code Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning. AAAI 2022
• 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