AgenticVBench-Omni: Evaluating Omnimodal Agents on Economically Valuable Work
Worked on long-horizon omnimodal agent evaluation and failure analysis.
|
I work on post-training for computer-use agents at Meta. My interests include agentic reinforcement learning and evaluation. Previously, I worked on synthetic data at Meta and game AI at Tencent. I hold a master’s degree in AI Engineering from Carnegie Mellon University. |
|
Meta Feb 2025 - Present Research Engineer
|
|
Meta May 2024 - Aug 2024 Machine Learning Engineer Intern
|
|
Tencent Jul 2022 - Oct 2022 Machine Learning Engineer Intern
|
Worked on long-horizon omnimodal agent evaluation and failure analysis.
Explored dynamic tree construction and verification for speculative decoding.
|
Carnegie Mellon University Aug 2023 - Dec 2024 M.S. in AI Engineering, Electrical and Computer Engineering |
|
University of Liverpool Sep 2019 - Jun 2023 B.S. in Computer Science |