Dongyoung Kim
Graduate student at KAIST
KAIST AI
kingdy2002 [AT] kaist.ac.kr
About
I am a 2nd year M.S & Ph.D. student at Algorithmic Intelligence Laboratory (ALIN-LAB), advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST). I received my B.S. in Computer Science School at KAIST in 2024.
My ultimate research goal is to achieve Artificial General Intelligence (AGI). To accomplish this, I am conducting research focused on strengthening and integrating the individual processes that connect perception, understanding, reasoning, and action in relation to the world. I aim to advance these methodologies in key domains such as Multi-Modal Large Language Models (MLLMs) and Vision-Language Action models (VLAs).
Publications
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
Dongyoung Kim, Kimin Lee ,Jinwoo Shin, Jaehyung Kim
International Conference on Learning Representations (ICLR) 2025, Oral Presentation (207/11672=1.77%)
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Conference on Neural Information Processing Systems (NeurIPS), 2023
Debiasing Online Preference Learning via Preference Feature Preservation
Dongyoung Kim, Jinsung Yoon,Jinwoo Shin, Jaehyung Kim
Annual Meeting of the Association for Computational Linguistics (ACL) 2025 (Findings)
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
Dongyoung Kim, Sumin Park,Huiwon Jang, Jinwoo Shin, Jaehyung Kim*, Younggyo Seo*
Preprint
SpatialBoost: Enhancing Visual Representation through Language-Guided Reasoning
Byoungwooo Jeon*, Dongyoung Kim*,Huiwon Jang,Jinwoo Shin
Preprint
Learning to Correct for QA Reasoning with Black-box LLMs
Jaehyung Kim, Dongyoung Kim, Yiming Yang
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024 (Long, Main)
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang,Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
International Conference on Machine Learning (ICML), 2024
Collaborative LLM Inference via Planning for Efficient Reasoning
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Jinwoo Shin
Preprint
Training-free LLM Verification via Recycling Few-shot Examples
Dongseok Lee, Jimyung Hong, Dongyoung Kim, Jaehyung Kim
International Conference on Machine Learning (ICML) 2025 Workshop ES-FoMo-III
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
Dongyoung Kim, Kimin Lee ,Jinwoo Shin, Jaehyung Kim
International Conference on Learning Representations (ICLR) 2025, Oral Presentation (207/11672=1.77%)
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Conference on Neural Information Processing Systems (NeurIPS), 2023
Debiasing Online Preference Learning via Preference Feature Preservation
Dongyoung Kim, Jinsung Yoon,Jinwoo Shin, Jaehyung Kim
Annual Meeting of the Association for Computational Linguistics (ACL) 2025 (Findings)
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
Dongyoung Kim, Sumin Park,Huiwon Jang, Jinwoo Shin, Jaehyung Kim*, Younggyo Seo*
Preprint
SpatialBoost: Enhancing Visual Representation through Language-Guided Reasoning
Byoungwooo Jeon*, Dongyoung Kim*,Huiwon Jang,Jinwoo Shin
Preprint
Learning to Correct for QA Reasoning with Black-box LLMs
Jaehyung Kim, Dongyoung Kim, Yiming Yang
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024 (Long, Main)
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang,Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
International Conference on Machine Learning (ICML), 2024
Collaborative LLM Inference via Planning for Efficient Reasoning
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Jinwoo Shin
Preprint
Training-free LLM Verification via Recycling Few-shot Examples
Dongseok Lee, Jimyung Hong, Dongyoung Kim, Jaehyung Kim
International Conference on Machine Learning (ICML) 2025 Workshop ES-FoMo-III
Education
Korea Advanced Institute of Science and Technology (KAIST)Jun. 2024 - Present
M.S & Ph.D. Student in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2020 - Jun. 2024
B.S. in Computer Science
Honors & Awards
Recipient, Google Conference Scholarships (APAC)May. 2025
Travel Award, Conference on Neural Information Processing Systems (NeurIPS) 2023Dec. 2023