Jaemin Cho

Jaemin Cho

PhD student @ UNC Chapel Hill

🚨 I’m now on the 2024-2025 job market and open to both academic and industry positions. Feel free to reach out if you’d like to discuss opportunities

I am a PhD student at UNC Chapel Hill (MURGe-Lab, UNC NLP group), advised by Prof. Mohit Bansal. I am supported by Bloomberg Data Science Ph.D. Fellowship.

While at UNC, I have spent my summer time at Bloomberg (in 2024), Google Research (in 2023), Microsoft Research (in 2022) and Adobe Research (in 2021). Prior to UNC, I did machine learning research at AI2, Naver, and SNU.

I am interested in building reliable machine learning systems that understand various types of real-world data. This includes but not limited to:

News

Education
  • Ph.D. in Computer Science, 2025 (expected)

    University of North Carolina at Chapel Hill

  • M.S. in Computer Science, 2022

    University of North Carolina at Chapel Hill

  • B.S. in Industrial Engineering, 2018

    Seoul National University

All Publications

Quickly search over publications. Also see my Google Scholar for a more complete list.
DOCCI: Descriptions of Connected and Contrasting Images
High-quality, long, human-annotated descriptions of 15K images - ECCV 2024
DOCCI: Descriptions of Connected and Contrasting Images
Paxion: Patching Action Knowledge in Video-Language Foundation Models
Analyzing and patching action knowledge in video-language models - NeurIPS 2023 (Spotlight)
Paxion: Patching Action Knowledge in Video-Language Foundation Models
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
A question answering benchmark on real-world news articles for multi-media and multi-hop reasoning - AAAI 2022
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding