I'm a research scientist at Salesforce AI Research working on research on LLM/VLM post-training (ACL 2025 Findings, ACL 2025 Findings), computer use agents (Arxiv), environment simulation (NAACL 2025, Arxiv), deep research (Arxiv, EMNLP 2025 Industry Track), reasoning (Arxiv), and trustworthiness & alignment (NeurIPS 2024, NAACL 2025 Findings, TMLR 2025).
Prior to joining Salesforce AI Research, I earned my PhD at the University of Illinois Urbana-Champaign, under the guidance of my amazing advisor Prof. Heng Ji. I was driven by a mission to make AI more trustworthy and reduce the spread of false information. To achieve this goal, I've worked towards several key research directions: fact-checking (COLING 2022), fake news detection (NAACL 2022, ACL 2023), faithfulness enhancement and evaluation (EACL 2023 Findings, NAACL 2024, NAACL 2024), and factual error correction (ACL 2023, ACL 2024 Findings). During my PhD study, I've received the Amazon Science Ph.D. Fellowship. Before joining UIUC, I obtained my master's degree from the University of Southern California and my bachelor's degree from the Hong Kong University of Science and Technology.