Scholar
Taicheng Guo
Google Scholar ID: OA_UdcIAAAAJ
University of Notre Dame
Citations & Impact
Citations
1,514
H-index
10
i10-index
10
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers on large language models across various fields including chemistry, recommender systems, and data science, such as 'Large Language Model based Multi-Agents: A Survey of Progress and Challenges' in IJCAI'24 and 'What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks.' in NeurIPS 2023.
Research Experience
- Currently a third-year PhD student at the University of Notre Dame, previous research experience not detailed.
Education
- PhD in Computer Science and Engineering from the University of Notre Dame, advised by Prof. Xiangliang Zhang, starting in Spring 2023; M.S. in Computer Science from King Abdullah University of Science and Technology (KAUST); B.Eng. in Software Engineering from Xidian University.
Background
- Research interests: Developing intelligent systems with wider and deeper reasoning abilities. This includes model-level scaling up (Mixture-of-experts, Multi-agents) for divergent thinking and collective intelligence, and data-level scaling up (Test-Time Training). For deeper, exploring model-environment/tool scaling up (Multi-turn RL) for long-horizon reasoning and Thinking Paradigms scaling up (Inductive/Abductive/Deductive). Practical applications encompass LLM for Data Science (code generation, hyperparameter optimization, etc), Recommender Systems, and Scientific domains.
