The rise of LLMs has enabled AI to perform increasingly more sophisticated tasks. It is exciting to explore how current AI can push the boundaries of scientific research and help human to solve challenges to the society. In this talk, I will share some recent work on how to make use of AI to help human facilitate the research process, and also some efforts to make independent AI scientist. My talk will cover topics including how to use AI to help find relevant literature, summarize relevant literature, guide natural science experiments, and conduct end to end research in computer science.
Prof. Yue Zhang is a tenured Professor at Westlake University (https://frcchang.github.io). His research interests include fundamental NLP and its machine learning algorithms, and his recent research focuses on LLM reasoning and AI scientist. His major contributions to the field include machine learning algorithms for structured prediction (e.g., parsing and IE), neural NLP models (i.e., lattice and graph LSTM), and generalization for NLP/LM (e.g., OOD and logical reasoning). He co-authored the Cambridge University Press book ``Natural Language Processing -- a Machine Learning Perspective'‘ and served as a PC co-chair for CCL 2020 and EMNLP 2022, test-of-time award committee co-chairs for ACL 2024 and 2025, action editor for TACL, and associate editor for TASLP, TALLIP, TBD, and CSL. He won the best paper awards of IALP 2017 and COLING 2018, best paper honorable mention of SemEval 2020, and best paper nomination for ACL 2018 and ACL 2023.
The rise of LLMs has enabled AI to perform increasingly more sophisticated tasks. It is exciting to explore how current AI can push the boundaries of scientific research and help human to solve challenges to the society. In this talk, I will share some recent work on how to make use of AI to help human facilitate the research process, and also some efforts to make independent AI scientist. My talk will cover topics including how to use AI to help find relevant literature, summarize relevant literature, guide natural science experiments, and conduct end to end research in computer science.
Prof. Yue Zhang is a tenured Professor at Westlake University (https://frcchang.github.io). His research interests include fundamental NLP and its machine learning algorithms, and his recent research focuses on LLM reasoning and AI scientist. His major contributions to the field include machine learning algorithms for structured prediction (e.g., parsing and IE), neural NLP models (i.e., lattice and graph LSTM), and generalization for NLP/LM (e.g., OOD and logical reasoning). He co-authored the Cambridge University Press book ``Natural Language Processing -- a Machine Learning Perspective'‘ and served as a PC co-chair for CCL 2020 and EMNLP 2022, test-of-time award committee co-chairs for ACL 2024 and 2025, action editor for TACL, and associate editor for TASLP, TALLIP, TBD, and CSL. He won the best paper awards of IALP 2017 and COLING 2018, best paper honorable mention of SemEval 2020, and best paper nomination for ACL 2018 and ACL 2023.
