Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models
Keunwoo Yu, Joyce Chai, "Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models." arXiv, 2025.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model
Keunwoo Yu, Achal Dave, Rares Ambrus, Jean Mercat, "Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model." arXiv, 2024.
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
Keunwoo Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai, "Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties." Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?
Yuwei Bao, Keunwoo Yu, Yichi Zhang, Shane Storks, Itamar Bar-Yossef, Alex Iglesia, Megan Su, Xiao Zheng, Joyce Chai, "Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?." Findings of the Association for Computational Linguistics: EMNLP 2023, 2023.
NLP Reproducibility For All: Understanding Experiences of Beginners
Shane Storks, Keunwoo Yu, Ziqiao Ma, Joyce Chai, "NLP Reproducibility For All: Understanding Experiences of Beginners." Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023.
DANLI: Deliberative Agent for Following Natural Language Instructions
Yichi Zhang, Jianing Yang, Jiayi Pan, Shane Storks, Nikhil Devraj, Ziqiao Ma, Keunwoo Yu, Yuwei Bao, Joyce Chai, "DANLI: Deliberative Agent for Following Natural Language Instructions." Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Teaching
Service and leadership
- Currently signed in to 43 different slack teams