Dongryeol Lee

44 papers A* 3A 5B 1Journal 20Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — conf
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation.
EACL (Findings)
Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2026 J jnl
Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation.
CoRR
Dongryeol Lee, Yerin Hwang, Taegwan Kang, Minwoo Lee, Younhyung Chae, Kyomin Jung
2026 J jnl
When Wording Steers the Evaluation: Framing Bias in LLM judges.
CoRR
Yerin Hwang, Dongryeol Lee, Taegwan Kang, Minwoo Lee, Kyomin Jung
2025 — conf
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation.
NAACL (Long Papers)
Dongryeol Lee, Yerin Hwang, Yongil Kim, Joonsuk Park, Kyomin Jung
2025 — conf
Can You Trick the Grader? Adversarial Persuasion of LLM Judges.
EMNLP (Findings)
Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2025 J jnl
Can You Trick the Grader? Adversarial Persuasion of LLM Judges.
CoRR
Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2025 J jnl
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation.
CoRR
Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung
2025 A* conf
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation.
EMNLP
Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung
2025 J jnl
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation.
CoRR
Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung
2025 — conf
Generating Diverse Hypotheses for Inductive Reasoning.
NAACL (Long Papers)
Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung
2025 — conf
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding.
NAACL (Findings)
Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, Kyomin Jung
2025 J jnl
Program Synthesis via Test-Time Transduction.
CoRR
Kangil Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, Kyomin Jung
2025 B conf
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation.
COLING
Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, Kyomin Jung
2025 — conf
VLind-Bench: Measuring Language Priors in Large Vision-Language Models.
NAACL (Findings)
Kang-il Lee, Minbeom Kim, Seunghyun Yoon, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung
2024 J jnl
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation.
CoRR
Dongryeol Lee, Yerin Hwang, Yongil Kim, Joonsuk Park, Kyomin Jung
2024 J jnl
Generating Diverse Hypotheses for Inductive Reasoning.
CoRR
Kang-il Lee, Hyukhun Koh, Dongryeol Lee, Seunghyun Yoon, Minsung Kim, Kyomin Jung
2024 J jnl
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding.
CoRR
Kyungmin Min, Minbeom Kim, Kang-il Lee, Dongryeol Lee, Kyomin Jung
2024 J jnl
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation.
CoRR
Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, Kyomin Jung
2024 J jnl
VLind-Bench: Measuring Language Priors in Large Vision-Language Models.
CoRR
Kang-il Lee, Minbeom Kim, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung
2023 — conf
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA.
EMNLP (Findings)
Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung
2023 J jnl
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA.
CoRR
Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung
2023 — conf
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty.
ArgMining@EMNLP
Yoonsang Lee, Dongryeol Lee, Kyomin Jung
2022 — conf
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model.
DialDoc@ACL
Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, Kyomin Jung
2015 J jnl
Plug-and-play dual-tree algorithm runtime analysis.
CoRR
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
2015 J jnl
Plug-and-play dual-tree algorithm runtime analysis.
J. Mach. Learn. Res.
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
2014 J jnl
A distributed kernel summation framework for general-dimension machine learning.
Stat. Anal. Data Min.
Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray
2012 A conf
A Distributed Kernel Summation Framework for General-Dimension Machine Learning.
SDM
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
2012 A* conf
Detecting regions of interest in dynamic scenes with camera motions.
CVPR
Kihwan Kim, Dongryeol Lee, Irfan A. Essa
2012 J jnl
Faster Gaussian Summation: Theory and Experiment.
CoRR
Dongryeol Lee, Alexander G. Gray
2012 J jnl
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
CoRR
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
2012 — conf
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL.
NIPS
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
2012 J jnl
Multibody multipole methods.
J. Comput. Phys.
Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
2012 A conf
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees.
SDM
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
2012 A conf
Optimizing the computation of n-point correlations on large-scale astronomical data.
SC
William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
2011 J jnl
Dual-Tree Fast Gauss Transforms
CoRR
Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
2011 A* conf
Gaussian process regression flow for analysis of motion trajectories.
ICCV
Kihwan Kim, Dongryeol Lee, Irfan A. Essa
2011 J jnl
Multibody Multipole Methods
CoRR
Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
2009 — conf
Linear-time Algorithms for Pairwise Statistical Problems.
NIPS
Parikshit Ram, Dongryeol Lee, William B. March, Alexander G. Gray
2009 — conf
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions.
NIPS
Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander G. Gray
2008 — conf
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method.
NIPS
Dongryeol Lee, Alexander G. Gray
2007 A conf
Fast Mean Shift with Accurate and Stable Convergence.
AISTATS
Ping Wang, Dongryeol Lee, Alexander G. Gray, James M. Rehg
2006 A conf
Faster Gaussian Summation: Theory and Experiment.
UAI
Dongryeol Lee, Alexander G. Gray
2005 — conf
Dual-Tree Fast Gauss Transforms.
NIPS
Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
2004 — conf
Computation of Multiplicative Inverses in GF(2
ICCSA (1)
Hyeong Seon Yoo, Dongryeol Lee