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Yekyung Kim
Hi! I am a third-year PhD student at the
University of Maryland, CLIP Lab,
advised by Mohit Iyyer,
with a research focus on natural language processing.
My work lies at the intersection of evaluation and alignment in long-context scenarios.
I initially started my PhD at
UMass NLP
and later transferred to UMD along with my advisor.
Before starting my PhD, I worked at Hyundai Motors Group and LG Electronics as a research engineer.
I was selected as a
specialist in AI
and conducted research at
CMU LTI
as a visiting scientist mentored by
Jaime Carbonell.
Email /
Google Scholar /
Github
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Research
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Evaluating faithfulness and factuality
on long-context (FABLES,
ONERULER)
and long-form generation (VERISCORE)
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Post-training with synthetic dataset
for instruction following (BLEUBERI) and compositional reasoning (ongoing work)
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Agent for long-horizon task (ongoing work on complex claim verification)
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BLEUBERI: BLEU is a surprisingly effective reward for instruction following
Yapei Chang,
Yekyung Kim,
Michael Krumdick,
Amir Zadeh,
Chuan Li,
Chris Tanner,
Mohit Iyyer
NeurIPS 2025
Code
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One ruler to measure them all: Benchmarking multilingual long-context language models
Yekyung Kim,
Jenna Russell,
Marzena Karpinska,
Mohit Iyyer
COLM 2025
Code
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VERISCORE: Evaluating the Factuality of Verifiable Claims in Long-form Text Generation
Yixiao Song,
Yekyung Kim,
Mohit Iyyer
EMNLP Findings 2024
Code
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FABLES: Evaluating Faithfulness and Content Selection in Book-length Summarization
Yekyung Kim,
Yapei Chang,
Marzena Karpinska,
Aparna Garimella,
Varun Manjunatha,
Kyle Lo,
Tanya Goyal,
Mohit Iyyer
COLM 2024
Dataset + Code
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Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing
Hochul Hwang,
Sunjae Kwon,
Yekyung Kim,
Donghyun Kim
21st International Conference on Ubiquitous Robots
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LINDA: Unsupervised Learning to Interpolate in Natural Language Processing
Yekyung Kim,
Seohyeong Jeong,
Kyunghyun Cho
arXiv
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A Universal Framework for Dataset Characterization with Multidimensional Meta-information
Jaehyung Kim,
Yekyung Kim,
Karin Johanna Denton de Langis,
Jinwoo Shin,
Dongyeop Kang
ACL 2023
Code
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Meta-Crafting: Improved Detection of Out-of-distributed Texts via Crafting Metadata Space
Ryan Koo,
Yekyung Kim,
Dongyeop Kang,
Jaehyung Kim
AAAI 2024 Student Abstract and Poster Program
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Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient
Yekyung Kim
Workshop on Life-long Learning for Spoken Language Systems at AACL, 2021
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Learning Sub-Character level representation for Korean Named Entity Recognition
Yejin Kim,
Yekyung Kim (equal contributions)
The International FLAIRS Conference Proceedings, 2020
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#Nowplaying the Future Billboard: Mining Music Listening Behaviors of Twitter Users for Hit Song Prediction
Yekyung Kim,
Bongwon Suh,
Kyogu Lee
Workshop on Social Media Retrieval and Analysis (SoMeRA) at SIGIR, 2014
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A Visual Analytics Approach to Summarizing Tweets
Ramik Sadana,
Yekyung Kim,
Bongwon Suh,
Eunyee Koh
Industry day at SIGIR, 2014
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