- The paper 'Rethinking Human Preference Evaluation of LLM Rationales' received a Best Paper Award (Honorable Mention) at the COLM 2025 XLLM workshop.
- 'LATTE' was accepted to EMNLP 2025 and selected for Oral presentation.
- Won the Qualcomm Innovation Fellowship 2025.
- 'Coarse Correspondences' and 'Synthetic Visual Genome' were accepted to CVPR 2024.
- 'Task Me Anything' and 'NaturalBench' were accepted to NeurIPS 2024.
- Benchmark 'm&m's' was accepted to ECCV 2024.
Research Experience
- Interned at Google Research and worked at Meta between Aug 2022 and May 2023.
- Participated in multiple research projects during his time at Stanford University.
Education
- PhD student (2023 - present) in Computer Science and Engineering at the University of Washington, advised by Prof. Ranjay Krishna and Prof. Dan Weld.
- B.S. (Honors) and M.S. in Computer Science from Stanford University (before 2022), where he conducted research in the Stanford Vision and Learning Lab and HCI group, supervised by Prof. Fei-Fei Li and Prof. Michael Bernstein.
Background
Research interests: ML, CV, and HCI, especially in multi-modal agents, vision-language models, and human-AI interaction and collaboration. Currently a PhD student at the University of Washington.