Computation of Multiplicative Inverses in GF(2n) Using Palindromic Representation. - Hyeong Seon Yoo; Dongryeol Lee (ICCSA (1), 2004)

Dual-Tree Fast Gauss Transforms. - Dongryeol Lee; Alexander G. Gray; Andrew W. Moore 001 (NIPS, 2005)

Faster Gaussian Summation: Theory and Experiment. - Dongryeol Lee; Alexander G. Gray (UAI, 2006)

Fast Mean Shift with Accurate and Stable Convergence. - Ping Wang 012; Dongryeol Lee; Alexander G. Gray; James M. Rehg (AISTATS, 2007)

Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method. - Dongryeol Lee; Alexander G. Gray (NIPS, 2008)

Linear-time Algorithms for Pairwise Statistical Problems. - Parikshit Ram; Dongryeol Lee; William B. March; Alexander G. Gray (NIPS, 2009)

Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions. - Parikshit Ram; Dongryeol Lee; Hua Ouyang; Alexander G. Gray (NIPS, 2009)

Gaussian process regression flow for analysis of motion trajectories. - Kihwan Kim; Dongryeol Lee; Irfan A. Essa (ICCV, 2011)

Detecting regions of interest in dynamic scenes with camera motions. - Kihwan Kim; Dongryeol Lee; Irfan A. Essa (CVPR, 2012)

Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL. - Nishant A. Mehta; Dongryeol Lee; Alexander G. Gray (NIPS, 2012)

Optimizing the computation of n-point correlations on large-scale astronomical data. - William B. March; Kenneth Czechowski; Marat Dukhan; Thomas Benson; Dongryeol Lee; Andrew J. Connolly; Richard W. Vuduc; Edmond Chow; Alexander G. Gray (SC, 2012)

A Distributed Kernel Summation Framework for General-Dimension Machine Learning. - Dongryeol Lee; Richard W. Vuduc; Alexander G. Gray (SDM, 2012)

Nearest-Neighbor Search on a Time Budget via Max-Margin Trees. - Parikshit Ram; Dongryeol Lee; Alexander G. Gray (SDM, 2012)

Multibody multipole methods. - Dongryeol Lee; Arkadas Ozakin; Alexander G. Gray (J. Comput. Phys., 2012)

A distributed kernel summation framework for general-dimension machine learning. - Dongryeol Lee; Piyush Sao; Richard W. Vuduc; Alexander G. Gray (Stat. Anal. Data Min., 2014)

Plug-and-play dual-tree algorithm runtime analysis. - Ryan R. Curtin; Dongryeol Lee; William B. March; Parikshit Ram (J. Mach. Learn. Res., 2015)

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model. - Yunah Jang; Dongryeol Lee; Hyung Joo Park; Taegwan Kang; Hwanhee Lee; Hyunkyung Bae; Kyomin Jung (DialDoc@ACL, 2022)

MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty. - Yoonsang Lee 004; Dongryeol Lee; Kyomin Jung (ArgMining@EMNLP, 2023)

Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. - Dongryeol Lee; Segwang Kim; Minwoo Lee 003; Hwanhee Lee; Joonsuk Park; Sang-Woo Lee; Kyomin Jung (EMNLP (Findings), 2023)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models. - Kang-il Lee 001; Minbeom Kim; Minsung Kim; Dongryeol Lee; Hyukhun Koh; Kyomin Jung (CoRR, 2024)

Generating Diverse Hypotheses for Inductive Reasoning. - Kang-il Lee 001; Hyukhun Koh; Dongryeol Lee; Seunghyun Yoon; Minsung Kim; Kyomin Jung (CoRR, 2024)

Return of EM: Entity-driven Answer Set Expansion for QA Evaluation. - Dongryeol Lee; Minwoo Lee 003; Kyungmin Min; Joonsuk Park; Kyomin Jung (COLING, 2025)

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; Kyomin Jung (NAACL (Long Papers), 2025)

Generating Diverse Hypotheses for Inductive Reasoning. - Kang-il Lee; Hyukhun Koh; Dongryeol Lee; Seunghyun Yoon; Minsung Kim; Kyomin Jung (NAACL (Long Papers), 2025)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models. - Kang-il Lee 001; Minbeom Kim; Seunghyun Yoon; Minsung Kim; Dongryeol Lee; Hyukhun Koh; Kyomin Jung (NAACL (Findings), 2025)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding. - Kyungmin Min; Minbeom Kim; Kang-il Lee 001; Dongryeol Lee; Kyomin Jung (NAACL (Findings), 2025)

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation. - Yerin Hwang; Dongryeol Lee; Kyungmin Min; Taegwan Kang; Yongil Kim; Kyomin Jung (CoRR, 2025)

Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation. - Jiwon Moon; Yerin Hwang; Dongryeol Lee; Taegwan Kang; Yongil Kim; Kyomin Jung (CoRR, 2025)

Can You Trick the Grader? Adversarial Persuasion of LLM Judges. - Yerin Hwang; Dongryeol Lee; Taegwan Kang; Yongil Kim; Kyomin Jung (CoRR, 2025)