Fei Wang
![profile.jpg](/assets/img/profile.jpg?4ee765ac2d29db2b683571c1bb3bf03c)
I am a Ph.D. candidate in computer science at University of Southern California. I am grateful to be co-advised by Muhao Chen and Aram Galstyan. I am also fortunate to work closely with Kai-Wei Chang and Dan Roth. My research is supported by the Amazon ML PhD Fellowship and the Annenberg PhD Fellowship. Previously, I was a research intern at Google Cloud AI, AWS AI Labs, Amazon Alexa AI, and Tencent AI Lab (Seattle).
My research interests lie in natural language processing and machine learning. My recent work is centered around developing trustworthy (multimodal) LLMs, with a particular focus on preventing reward hacking, mitigating knowledge conflicts, and reducing hallucination.
News
Nov 15, 2024 | Tutorial at EMNLP 2024 on “Enhancing LLM Capabilities Beyond Scaling Up.” |
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Jun 16, 2024 | Six papers accepted by NAACL 2024. See you in Mexico City! |
May 23, 2024 | Guest lecture on “Debiasing in Machine Learning” at UC Davis. |
May 13, 2024 | My internship at Google Cloud AI starts. |
Apr 30, 2024 | Invited talk at the 3rd Annual Symposium of USC-Amazon Center. |
Selected Publications
- EMNLP
- NAACLIn Proceedings of NAACL , 2022