Scholar
Cheng-Kuang (Brian) Wu
Google Scholar ID: hc_e7rsAAAAJ
Appier AI Research
Citations & Impact
Citations
257
H-index
7
i10-index
7
Publications
12
Co-authors
6
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications:
- - Let Me Speak Freely? a study on the impact of format restrictions on performance of large language models, EMNLP 2024 Industry Track
- - I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation, EMNLP 2024 Main Conference
Research Experience
- Full-time Research Scientist at Appier AI Research Team, working with advisors Prof. Yun-Nung Chen and Prof. Hung-yi Lee; previously a member of NLPLab at National Taiwan University.
Education
- Doctor of Medicine (M.D.), National Taiwan University; Master's degree in Computer Science, National Taiwan University, Advisor: Prof. Hsin-Hsi Chen
Background
- Research Interests: Natural Language Processing (NLP), Deep Learning (DL), and their relationships with psychology; particularly intrigued by the mysteries behind large language models (LLMs), especially the works that discover connections to human cognition. Long-term research goal is to uncover how these models acquire knowledge and perform reasoning.
Miscellany
- Favorite Quote: 'Research is the search for reality. It is a wonderful search. It keeps us humble. Authentic humility is striving to see things how they are, rather than how we want them to be.' — Kevin Gimpel
