About me
Hi👋! I am a second-year PhD student in Computer and Information Science at the University of Pennsylvania, advised by Prof. Dan Roth. I received my Master degree in Economics and Computer Science from Duke univeristy advised by Prof. Sam Wiseman. I graduated from Renmin Univeristy of China (RUC), majored in Mathematics and Applied Mathematics and minor in Computer Science. I worked with Prof. Jing Zhang and Prof. Xin Zhao at RUC.
My research interests lie in Natural Language Processing and Machine Learning. I’m excited about LLM Reasoning and Agents. I’m particularly interested in:
- LLM reasoning for complex intents, including complex reasoning, decision-making, planning, and interactions.
- Analyzing and verifying the outputs of LLMs for more reliable and trustworthy AI systems.
🌟 Recent News
[May 20, 2024] I started my internship at AWS AI in NYC!
📑 Research Projects
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng, Ben Zhou, Weidong Lin, Dan Roth
ICLR 2025
DiverseAgentEntropy: Quantifying Black-Box LLM Uncertainty through Diverse Perspectives and Multi-Agent Interaction
Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager, Nikolaos Pappas, Kishaloy Halder, Yang Li, Yassine Benajiba, Dan Roth
Preprint 2025
BLINK: Multimodal Large Language Models Can See but Not Perceive
Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma†, Ranjay Krishnaâ€
ECCV 2024
Generic Temporal Reasoning with Differential Analysis and Explanation
Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth
ACL 2023
A pretraining numerical reasoning model for ordinal constrained question answering on knowledge base
Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen
EMNLP 2021 Findings