Sungwoong Kim

73 papers A* 16B 1Misc 1Journal 45Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction.
CoRR
Hanbum Ko, Chanhui Lee, Ye Rin Kim, Rodrigo Hormazabal, Sehui Han, Sungbin Lim, Sungwoong Kim
2026 J jnl
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning.
CoRR
Thanh Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
2025 A* conf
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction.
ICRA
Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu
2025 A* conf
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization.
ICML
Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2025 J jnl
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization.
CoRR
Hee Suk Yoon, Eunseop Yoon, Mark Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2025 — conf
EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild.
NAACL (Findings)
Junhyeok Kim, Min Soo Kim, Jiwan Chung, Jungbin Cho, Jisoo Kim, Sungwoong Kim, Gyeongbo Sim, Youngjae Yu
2025 J jnl
EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild.
CoRR
Junhyeok Kim, Min Soo Kim, Jiwan Chung, Jungbin Cho, Jisoo Kim, Sungwoong Kim, Gyeongbo Sim, Youngjae Yu
2025 J jnl
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization.
CoRR
DaeJin Jo, Jeeyoung Yun, Byungseok Roh, Sungwoong Kim
2025 J jnl
Mol-LLM: Generalist Molecular LLM with Improved Graph Utilization.
CoRR
Chanhui Lee, Yuheon Song, Yongjun Jeong, Hanbum Ko, Rodrigo Hormazabal, Sehui Han, Kyunghoon Bae, Sungbin Lim, Sungwoong Kim
2025 J jnl
Object-centric Self-improving Preference Optimization for Text-to-Image Generation.
CoRR
Yoonjin Oh, Yongjin Kim, Hyomin Kim, Donghwan Chi, Sungwoong Kim
2025 J jnl
SGPO: Self-Generated Preference Optimization based on Self-Improver.
CoRR
Hyeonji Lee, DaeJin Jo, Seohwan Yun, Sungwoong Kim
2025 J jnl
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery.
CoRR
Jiyeon Kang, Songseong Kim, Chanhui Lee, Doyeong Hwang, Joanie Hayoun Chung, Yunkyung Ko, Sumin Lee, Sungwoong Kim, Sungbin Lim
2025 J jnl
Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM.
CoRR
Donghwan Chi, Hyomin Kim, Yoonjin Oh, Yongjin Kim, Donghoon Lee, DaeJin Jo, Jongmin Kim, Junyeob Baek, Sungjin Ahn, Sungwoong Kim
2025 A* conf
Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making.
EMNLP
Yejin Son, Minseo Kim, Sungwoong Kim, Seungju Han, Jian Kim, Dongju Jang, Youngjae Yu, Chan Young Park
2025 J jnl
Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making.
CoRR
Yejin Son, Minseo Kim, Sungwoong Kim, Seungju Han, Jian Kim, Dongju Jang, Youngjae Yu, Chanyoung Park
2025 A* conf
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms.
EMNLP
Seungwon Lim, Sungwoong Kim, Jihwan Yu, Sungjae Lee, Jiwan Chung, Youngjae Yu
2025 J jnl
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms.
CoRR
Seungwon Lim, Sungwoong Kim, Jihwan Yu, Sungjae Lee, Jiwan Chung, Youngjae Yu
2024 J jnl
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction.
CoRR
Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu
2024 — conf
MEVG: Multi-event Video Generation with Text-to-Video Models.
ECCV (43)
Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Sangpil Kim
2024 — conf
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM.
EMNLP (Findings)
SooHwan Eom, Jay Shim, Gwanhyeong Koo, Haebin Na, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo
2024 J jnl
Scalable Multi-Task Transfer Learning for Molecular Property Prediction.
CoRR
Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim
2024 — conf
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback.
ACL (Findings)
Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, DaeJin Jo, Kyoung-Woon On, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo
2024 J jnl
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback.
CoRR
Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, DaeJin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2024 J jnl
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning.
IEEE Access
Thanh Xuan Nguyen, Tung Minh Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo
2023 — conf
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation.
EMNLP (Findings)
Gunsoo Han, DaeJin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang Dong Yoo, Sungwoong Kim
2023 J jnl
Effortless Integration of Memory Management into Open-Domain Conversation Systems.
CoRR
Eunbi Choi, Kyoung-Woon On, Gunsoo Han, Sungwoong Kim, Daniel Wontae Nam, DaeJin Jo, Seungeun Rho, Taehwan Kwon, Minjoon Seo
2023 J jnl
Hexa: Self-Improving for Knowledge-Grounded Dialogue System.
CoRR
DaeJin Jo, Daniel Wontae Nam, Gunsoo Han, Kyoung-Woon On, Taehwan Kwon, Seungeun Rho, Sungwoong Kim
2023 A* conf
MAGVLT: Masked Generative Vision-and-Language Transformer.
CVPR
Sungwoong Kim, DaeJin Jo, Donghoon Lee, Jongmin Kim
2023 J jnl
MAGVLT: Masked Generative Vision-and-Language Transformer.
CoRR
Sungwoong Kim, DaeJin Jo, Donghoon Lee, Jongmin Kim
2023 J jnl
MTVG : Multi-text Video Generation with Text-to-Video Models.
CoRR
Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim
2023 A* conf
Score-based Generative Models with Lévy Processes.
NeurIPS
Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2022 — conf
Contrastive Regularization for Semi-Supervised Learning.
CVPR Workshops
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
2022 J jnl
Contrastive Regularization for Semi-Supervised Learning.
CoRR
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
2022 J jnl
Insights From the NeurIPS 2021 NetHack Challenge.
CoRR
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2022 A* conf
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward.
NeurIPS
DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
2022 J jnl
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward.
CoRR
DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
2022 B conf
Selective Token Generation for Few-shot Natural Language Generation.
COLING
DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim
2022 J jnl
Selective Token Generation for Few-shot Natural Language Generation.
CoRR
DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim
2021 J jnl
Automated Learning Rate Scheduler for Large-batch Training.
CoRR
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
2021 J jnl
Hybrid Generative-Contrastive Representation Learning.
CoRR
Saehoon Kim, Sungwoong Kim, Juho Lee
2021 — conf
Insights From the NeurIPS 2021 NetHack Challenge.
NeurIPS (Competition and Demos)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021 A* conf
Spatially Consistent Representation Learning.
CVPR
Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim
2021 J jnl
Spatially Consistent Representation Learning.
CoRR
Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim
2021 A* conf
Visual Concept Reasoning Networks.
AAAI
Taesup Kim, Sungwoong Kim, Yoshua Bengio
2020 J jnl
AutoCLINT: The Winning Method in AutoCV Challenge 2019.
CoRR
Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim
2020 A* conf
Learning Loss for Test-Time Augmentation.
NeurIPS
Ildoo Kim, Younghoon Kim, Sungwoong Kim
2020 J jnl
Learning Loss for Test-Time Augmentation.
CoRR
Ildoo Kim, Younghoon Kim, Sungwoong Kim
2020 A* conf
Spatially Attentive Output Layer for Image Classification.
CVPR
Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
2020 J jnl
Spatially Attentive Output Layer for Image Classification.
CoRR
Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
2020 J jnl
Visual Concept Reasoning Networks.
CoRR
Taesup Kim, Sungwoong Kim, Yoshua Bengio
2020 J jnl
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models.
CoRR
Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim
2019 A* conf
Edge-Labeling Graph Neural Network for Few-Shot Learning.
CVPR
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
2019 J jnl
Edge-labeling Graph Neural Network for Few-shot Learning.
CoRR
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
2019 A* conf
Fast AutoAugment.
NeurIPS
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
2019 J jnl
Fast AutoAugment.
CoRR
Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
2019 A* conf
Mining GOLD Samples for Conditional GANs.
NeurIPS
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019 J jnl
Mining GOLD Samples for Conditional GANs.
CoRR
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019 — conf
Scalable Neural Architecture Search for 3D Medical Image Segmentation.
MICCAI (3)
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
2019 J jnl
Scalable Neural Architecture Search for 3D Medical Image Segmentation.
CoRR
Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
2018 A* conf
Bayesian Model-Agnostic Meta-Learning.
NeurIPS
Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
2018 J jnl
Bayesian Model-Agnostic Meta-Learning.
CoRR
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn
2015 J jnl
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis.
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
2014 J jnl
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
CoRR
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
2014 J jnl
Image Segmentation UsingHigher-Order Correlation Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli
2013 A* conf
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
CVPR
Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother
2013 J jnl
Task-Specific Image Partitioning.
IEEE Trans. Image Process.
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo
2011 — conf
Higher-Order Correlation Clustering for Image Segmentation.
NIPS
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo
2011 J jnl
Large Margin Discriminative Semi-Markov Model for Phonetic Recognition.
IEEE Trans. Speech Audio Process.
Sungwoong Kim, Sungrack Yun, Chang D. Yoo
2010 Misc conf
Largemargin training of semi-Markov model for phonetic recognition.
ICASSP
Sungwoong Kim, Sungrack Yun, Chang Dong Yoo
2010 J jnl
Wearable sensor activity analysis using semi-Markov models with a grammar.
Pervasive Mob. Comput.
Owen Thomas, Peter Sunehag, Gideon Dror, Sungrack Yun, Sungwoong Kim, Matthew W. Robards, Alexander J. Smola, Daniel Green, Philo Saunders
2009 J jnl
Pairwise boosted audio fingerprint.
IEEE Trans. Inf. Forensics Secur.
Dalwon Jang, Chang Dong Yoo, Sunil Lee, Sungwoong Kim, Ton Kalker
2007 — conf
Boosted Binary Audio Fingerprint Based on Spectral Subband Moments.
ICASSP (1)
Sungwoong Kim, Chang Dong Yoo