Scholar
Haitao Li
Google Scholar ID: jj5HjKUAAAAJ
TsingHua University
Citations & Impact
Citations
865
H-index
17
i10-index
24
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Awarded the Shimo Zhong Scholarship (the highest honor in the Department of Computer Science at Tsinghua University) and the Siebel Scholars Award; participated in multiple competitions and won prizes, such as first place in the COLIEE 2024 Legal Case Retrieval Task and first place in the COLIEE 2023 Legal Case Retrieval Task; published several papers, e.g., 'Calibraeval: Calibrating prediction distribution to mitigate selection bias in LLMs-as-judges' (ACL 2025 main).
Research Experience
- As a Ph.D. student at THUIR lab, focusing on research related to large language models, including post-training strategies, vertical knowledge injection, and efficient reinforcement learning algorithms.
Education
- Sep 2022 - present: Ph.D. student at the Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Yiqun Liu; Sep 2018 - Jun 2022: B.S. in Electronic Engineering, Beihang University; Sep 2019 - Jun 2022: Minor in Mathematics, Beihang University.
Background
- Research interests include post-training strategies of large language models, vertical knowledge injection, efficient reinforcement learning algorithms, reward modeling and the application of LLM as a judge, performance evaluation, model evolution, and bias mitigation. Also deeply interested in complex problem decomposition and solving, multi-agent collaboration, retrieval-augmented generation (RAG), and information retrieval.
Miscellany
- Personal interests include collaborating and exchanging ideas with researchers, exploring the application of large language models in areas like complex problem decomposition and solving, multi-agent collaboration, retrieval-augmented generation (RAG), and information retrieval.
