Scholar
Xintao Wang
Google Scholar ID: 3PMO0KYAAAAJ
Fudan University
Citations & Impact
Citations
731
H-index
11
i10-index
11
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works' and 'Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data'; participated in important conferences like ACL 2024 and EMNLP 2024; won the second prize in the InternLM competition hosted by the Shanghai Artificial Intelligence Laboratory as part of the Takway.AI team.
Research Experience
- Involved in several research projects related to role-playing, such as BookWorld, CoSER, etc.
Education
- Ph.D. in NLP, 2021 - 2026 (estimated), Fudan University; B.S. in CS, 2017 - 2021, Fudan University.
Background
- Xintao Wang is a fourth-year Ph.D. candidate at Fudan University in the School of Computer Science. He is deeply fascinated with ACG (Anime, Comics & Games) culture and is devoted to revolutionizing the ACG industry with AI techniques. His research interests primarily focus on human-like generative agents and their personas, including (but not limited to): role-playing language agents, cognitive modeling in language models.
Miscellany
- Has a strong interest in ACG culture, J Pop music, and Cosplay.
