Thinkwee's Blog

Too Stupid to Give Up Learning

About Me

I'm in London

Since February 2025, I've been based in London pursuing my PhD journey!
Fun Fact: My giraffe icon isn't random - I actually have a long neck!
See for yourself and meet other talented researchers on our KCLNLP team page.
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About Me

I'm in BUPT
I'm in Tecent
I'm in Tsinghua
  • Hello, I’m Wei Liu (刘维). Welcome to my blog (0 views</span>). You can search me on google with keyword “thinkwee”, which means “The Thinking Wei”.
  • Past experience:
    • 2014-2021: Bachelor of Communication Engineering in BUPT, and Master of Computer Engineering in CIST Lab@BUPT.
    • 2021-2023: Application Research in the NLP&LLM Department in Tencent.
    • 2023-2025: Working at THUNLP@Tsinghua University with Prof. Zhiyuan Liu and Prof. Chen Qian on LLM Multi-Agent System.
    • 2025-now: Proud to be a PhD advised by Prof. Yulan He and a member of KCLNLP!

Recent News

  • 2025.5.16 Checkout KCLNLP’s amazing works here, with 15 papers accepted by ACL 2025 and 3 papers accepted by ICML 2025!.
  • 2025.5.21 Check out NOVER, a novel verifier-free reinforcement learning framework for training Large Reasoning Model. Train your own R1-Zero-like reasoning model on ANY DATA!
  • 2025.6.9 Check out AgentsMeetRL, an awesome list of Reinforcement Learning-based Large Language Agent!

Research Interests

  • Inference Time Scaling and Agentic AI.
  • Compression Intelligence in NLP.
  • 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 bridge the gap between technology in NLP and scenario in Recommendation & Advertisement.
    • 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

  • * denotes first/co-first author.
  • Personal Agentic AI:
    • NeurIPS 2024 paper code Autonomous Agents for Collaborative Task under Information Asymmetry*
  • Inference Time Scaling:
    • arXiv 2025 paper code NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning*
    • ICLR 2025 paper code Scaling Large-Language-Model-based Multi-Agent Collaboration
  • Multi-Agents System with LLMs:
    • ACL 2024 paper code Communicative Agents for Software Development
    • ACL 2024 paper code Experiential Co-Learning of Software-Developing Agents
    • ACL 2025 paper code Multi-Agent Software Development through Cross-Team Collaboration
    • arXiv 2024 paper code Iterative Experience Refinement of Software-Developing Agents
    • arXiv 2025 paper code EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation
  • Compression Intelligence in NLP:
    • ACL 2021 paper code UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction*
    • AAAI 2022 paper code Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning
    • CoNLL 2021 paper code In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes*
    • SIGIR 2019 paper CIST@CLSciSumm-19: Automatic Scientific Paper Summarization with Citances and Facets
    • EMNLP 2020 paper CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization*
    • RANLP 2019 paper code Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus*
    • CCIS 2018 paper A Multi-View Abstractive Summarization Model Jointly Considering Semantics and Sentiment
    • arXiv 2021 paper code CO2Sum: Contrastive Learning for Factual-Consistent Abstractive Summarization*
    • arXiv 2021 paper code Subjective Bias in Abstractive Summarization*
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