Weize Liu

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I am a first-year Ph.D. student in Computer Science at the University of Maryland, College Park, advised by Prof. Furong Huang.

My research focuses on large language models (LLMs), particularly on improving models’ reasoning, agentic capabilities, reliability, and efficiency by developing advanced post-training (SFT, RL) and data synthesis methods.

I am actively seeking a research internship for summer 2026 (based in the United States) and welcome any referrals or connections. I am also open to research collaborations; if you are interested in working together, please feel free to reach out via email.

news

Jan 2026 A first-author paper was accepted to ICLR 2026! Thanks to all co-authors. See you in Brazil! Feel free to say hi and chat with me!
Sep 2025 Started the Computer Science Ph.D. program at the University of Maryland, College Park.
Jun 2025 Completed the M.Eng. in Computer Technology at Zhejiang University.
May 2025 Started a research internship at Alibaba Group (Foundation Model Training Team, Future Living Lab), enhancing the reasoning capabilities of Qwen3 models through data synthesis techniques.

selected publications

  1. ICLR
    DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning
    Weize Liu, Yongchi Zhao, Yijia Luo, and 8 more authors
    ICLR 2026
    Paper Project Page
  2. NAACL
    Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
    Weize Liu, Guocong Li, Kai Zhang, and 6 more authors
    NAACL 2024
    Paper Code
  3. EMNLP
    Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
    Weize Liu, Yinlong Xu, Hongxia Xu, and 3 more authors
    EMNLP 2024
    Paper
  4. ACL
    From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
    Guocong Li, Weize Liu, Yihang Wu, and 4 more authors
    ACL 2025 (Findings)
    Paper