About Me
- Hello, I'm Wei Liu (刘维). Welcome to my blog (0 views). Here are my Email, Github, and Google Scholar.
- My previous experience
- 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 and Prof. Chen Qian with a focus on LLM Multi-Agent System.
- 2025.2 Proud to be a PhD advised by Prof. Yulan He and a member of KCLNLP!.
- Recent News
Research Interests
- Natural Language Generation, especially on Compressing and Summarizing Languages.
- Inference Time Scaling in LLMs.
- Develop robust, safe, efficient, and human-centric LLM Multi-Agent System.
- Served as reviewer for
- ACL(2021,2022,2024)
- EMNLP(2020,2023,2024,2025)
- NeurIPS(2024,2025)
- 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
- Reasoning in LLMs:
- 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. ACL 2025
- paper code EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation.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