معرفی
Ruizhe Li is a Lecturer (Assistant Professor) at the University of Aberdeen's Aberdeen - South China Normal University (SCNU) Joint Institute, with dual affiliations to the School of Natural and Computing Sciences and Business School. He actively collaborates with the Natural Language Processing (NLP) group, Machine Learning (ML) group, and Edinburgh clinical NLP group.
- BEng Electronic Information & Engineering - Shanghai University
- PhD - University of Sheffield's Sheffield NLP group
His research focuses on Interpretability of Large Language Models (LLMs) and Multimodal LLMs, exploring techniques for context attribution, positional bias analysis, and knowledge graph integration. Current projects examine retrieval-augmented generation, cross-modal interaction, and healthcare AI applications.
Recent publications (2025) demonstrate expertise in context attribution mechanisms, multimodal medical diagnostics, and multilingual instruction-following with LLMs. Work spans ACL, NLPCC, Nature Machine Intelligence, and clinical AI journals.
- Best Poster Award (Multimodal AI 2024)
- ACL Area Chair Awards (2023, 2025)
- Fellow of Advance HE (2025)
- Gemma 2 Academic Program Award (Google 2024)
- Royal Society International Exchanges Grant (2024-2026)
Actively recruiting PhD students in NLP and ML. Maintains the ARC-JSD GitHub repository for LLM interpretability research. Serves as Area Chair for NeurIPS, EMNLP, and ACL conferences.
Current lab affiliations include the University of Aberdeen's NLP and ML groups, plus Edinburgh clinical NLP collaboration. Previous research roles at University College London's Web Intelligence Group and Sheffield NLP group.
