Hi! I am a Ph.D student at Seoul National University. I am fortunate to be advised by Prof. Kyomin Jung
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My research interest is broadly in machine learning and natural language processing.
I am interested in Question Answering and fair evaluation metrics.
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Publications
† indicates corresponding author
* indicates equal contribution among authors
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
Yerin Hwang*, Dongryeol Lee*, Kyungmin Min, Taegwan Kang, Yongil Kim, and Kyomin Jung†
EMNLP 2025
[paper]
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, and Kyomin Jung†
EMNLP 2025 (Findings)
[paper]
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
Dongryeol Lee*, Yerin Hwang*, Yongil Kim, Joonsuk Park†, and Kyomin Jung†
NAACL 2025 (Oral)
Generating Diverse Hypotheses for Inductive Reasoning
Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, and Kyomin Jung†
NAACL 2025 (Oral)
[paper]
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, and Kyomin Jung†
NAACL 2025 (Findings)
[paper]
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, and Kyomin Jung†
NAACL 2025 (Findings)
[paper]
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation
Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park†, and Kyomin Jung†
COLING 2025 (Oral)
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
Dongryeol Lee*, Segwang Kim*, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, and Kyomin Jung†
EMNLP 2023, (Findings)
[paper] [code] [slides] [poster]