Park, Dongmin

14 publications

ICLR 2026 Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho
ICLR 2026 VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning? Minkyu Kim, Sangheon Lee, Dongmin Park
ICLR 2025 Active Learning for Continual Learning: Keeping the past Alive in the Present Jaehyun Park, Dongmin Park, Jae-Gil Lee
ICLR 2025 Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
ICLR 2025 Test-Time Alignment of Diffusion Models Without Reward Over-Optimization Sunwoo Kim, Minkyu Kim, Dongmin Park
AAAI 2024 Adaptive Shortcut Debiasing for Online Continual Learning Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
ICML 2024 One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
ICML 2023 Context Consistency Regularization for Label Sparsity in Time Series Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
NeurIPS 2023 Robust Data Pruning Under Label Noise via Maximizing Re-Labeling Accuracy Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
NeurIPSW 2022 Active Learning Is a Strong Baseline for Data Subset Selection Dongmin Park, Dimitris Papailiopoulos, Kangwook Lee
AAAI 2022 Meta-Learning for Online Update of Recommender Systems Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
NeurIPS 2022 Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-Set Active Learning Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
NeurIPS 2021 Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
ICCV 2019 Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee