About

Hi! I am a Ph.D student at Seoul National University. I am fortunate to be advised by Prof. Kyomin Jung

More Information

My research interest is broadly in machine learning and natural language processing.

I am interested in Question Answering and fair evaluation metrics.

Contact me

drl123@snu.ac.kr

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)

 [paper] [code]

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)

 [paper] [code] [slides]

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]


CV