I am a PhD student at the University of Pennsylvania advised by Prof. Chris Callison-Burch. I graduated from the University of Texas at Austin with a B.S. in Computer Science and Mathematics, where I was fortunate to be part of the TAUR Lab and advised by Prof. Greg Durrett. Feel free to reach out at yeeunk [at] engineering [dot] upenn [dot] edu.
My research interests are broadly in Natural Language Processing and Large Language Models. Below are the specific topics I am focused on currently.
AI Homogeneity and DiversityLarge language models are known to produce homogeneous outputs, which limits how well they serve diverse populations.
AI for Scientific ResearchEfficient agentic systems that support scientists by automatically proposing research ideas, conducting experiments, and verifying results.
Position: Artificial Hivemind Evidence Does Not Support Societal Homogenization Claims
Grace Ye Eun Kim, Elliot Pickens, Yukyung Lee, and Chris Callison-Burch. Under review.
The World as Seen Through State Media: An Open Dataset of 88 Million Articles of Foreign and
Domestic-Targeted State Media from 107 Countries
Bryan Li, Samar Haider, Grace Ye Eun Kim, Fiona Luo, Jinqi Luo, Yuan Yuan, Duncan Watts, René Vidal,
and Chris Callison-Burch. Under review.
The Vigilance Gap: Measuring Language Model Failures in Recognizing Safety Cues Under Long
Contexts
Josh Magnus Ludan, Grace Kim, Raghav Venkata Garimella, Maggie Ziyu Huan, Princess Sampson, and
Chris Callison-Burch. Under review.
When Verification Fails: How Compositionally Infeasible Claims Escape Rejection [abs] [pdf]
Muxin Liu, Delip Rao, Grace Kim, and Chris Callison-Burch. Proceedings of COLM 2026.
ConLID: Supervised Contrastive Learning for Low-Resource Language Identification [abs] [pdf]
Negar Foroutan, Jakhongir Saydaliev, Grace Kim, and Antoine Bosselut. Proceedings of EACL 2026.
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models [abs] [pdf]
Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa,
Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, and Greg Durrett.
Proceedings of NeurIPS 2025, Datasets and Benchmarks Track.
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding [abs] [pdf]
Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, and Kathleen McKeown.
Proceedings of EMNLP 2025.
Complex Claim Verification with Evidence Retrieved in the Wild [abs] [pdf]
Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, and Eunsol Choi. Proceedings of NAACL 2024.
Graduate Researcher at the University of Pennsylvania
August 2025 – Present
Undergraduate Researcher at UT Austin TAUR Lab
August 2022 – May 2025
Research Intern at EPFL NLP Lab
May 2024 – August 2024
Research Intern at UT Austin EnyAC Group
May 2023 – July 2023
Teaching Assistant for CIS 5300 Natural Language Processing at the University of Pennsylvania (Summer 2026 and Fall 2026)
Teaching Assistant for CS 371N Natural Language Processing at UT Austin (Fall 2024)
Teaching Assistant for CS 329E Elements of Data Integration at UT Austin (Spring 2024 and Spring 2025)
Organizer for PennNLP CLunch Seminar (Spring 2026)
Reviewer for COLM 2026, ARR May 2026
My Korean name is Ye Eun, two syllables forming one name, where Eun means grace.
In my free time, I enjoy watching musicals and exploring new coffee/matcha places.