معرفی
Liangming Pan is an Assistant Professor at the University of Arizona's College of Information Science. His research focuses on building trustworthy large language models (LLMs) with an emphasis on logical reasoning, truthfulness, and safety. He holds a PhD in Computer Science from the National University of Singapore (2022), a Master's from Tsinghua University, and a Bachelor's from Beihang University.
Education:
- PhD in Computer Science, National University of Singapore (2022)
- Master of Engineering in Computer Science, Tsinghua University (2017)
- Bachelor of Engineering in Computer Science, Beihang University (2014)
Research Interests:
Dr. Pan's work centers on enhancing LLMs' reliability through:
- Logical reasoning mechanisms to ensure faithful deductions
- Truthfulness verification to combat misinformation
- Safety protocols to mitigate societal harm
Key Contributions:
- Developed TART, an open-source framework for explainable table-based reasoning
- Created benchmarks like SCITAB and FactCheck-Bench for evaluating LLMs
- Advanced techniques for knowledge editing and causal reasoning
Awards:
- Best Paper Runner-Up at NeurIPS Table Representation Workshop (2024)
- Area Chair Award for Question Answering (IJCNLP-AACL 2023)
Service & Outreach:
He serves as an Area Chair for EMNLP (2024), COLING (2025), and ACL (2024). He has delivered invited talks at Tsinghua University, Peking University, and other institutions.
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