Li Zhang
Scholar

Li Zhang

Google Scholar ID: re8xXdsAAAAJ
University of Pittsburgh
Artificial Intelligence and Law
Citations & Impact
All-time
Citations
42
 
H-index
3
 
i10-index
1
 
Publications
5
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • - [Oct. 2025] Our paper 'Thinking Longer, Not Always Smarter: Evaluating LLM Capabilities in Hierarchical Legal Reasoning' is on ArXiv now.
  • - [Oct. 2025] Our paper 'Do LLMs Truly Understand When a Precedent Is Overruled?' is accepted by JURIX 2025.
  • - [July. 2025] I will be giving an invited talk at ResearchTrend.
  • - [June. 2025] Our paper 'Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation' is accepted by LCIC@ICAIL 2025. I will be presenting the papers at the conference.
  • - [May. 2025] Our paper 'Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments' is accepted by ASAIL@ICAIL 2025.
  • - [Mar. 2025] Our paper 'Generating Case-Based Legal Arguments with LLMs' is accepted by CS&Law 2025.
Research Experience
  • - Graduate Student Researcher at the Learning and Research Development Centre, University of Pittsburgh, since August 2024
Education
  • - Ph.D. Student, School of Computing and Information, University of Pittsburgh, Advisor: Prof. Kevin Ashley
  • - LL.M., Tsinghua University
  • - B.S. in Electrical Engineering, China University of Mining and Technology
  • - Studied at the Australian National University
Background
  • - Research Interests: Reasoning LLMs, Trustworthy ML Systems, AI for Law
  • - Professional Field: Intersection of Computer Science and Law
  • - Biography: A Ph.D. student at the School of Computing and Information, University of Pittsburgh, advised by Prof. Kevin Ashley. Previously, obtained an LL.M. from Tsinghua University and a B.S. in Electrical Engineering from China University of Mining and Technology. Also spent time at the Australian National University.