Jaehyung Kim

60 papers A* 19A 1Journal 33Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.
Future Gener. Comput. Syst.
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2026 A* conf
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting.
AAAI
Yunhun Nam, Jaehyung Kim, Jongheon Jeong
2025 J jnl
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing.
CoRR
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2025 J jnl
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
CoRR
Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 — conf
Data Management System Analysis for Distributed Computing Workloads.
SC Workshops
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Data Management System Analysis for Distributed Computing Workloads.
CoRR
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 — conf
Error Analysis of Globally Distributed Workflow Management System.
SC Workshops
Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 — conf
Few-shot Personalization of LLMs with Mis-aligned Responses.
NAACL (Long Papers)
Jaehyung Kim, Yiming Yang
2025 J jnl
Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting.
CoRR
Yunhun Nam, Jaehyung Kim, Jongheon Jeong
2025 J jnl
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.
CoRR
Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo
2025 A* conf
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification.
ICML
Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack
2025 J jnl
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification.
CoRR
Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack
2025 A* conf
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment.
ICLR
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
2025 J jnl
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.
CoRR
Ozgur O. Kilic, David Keetae Park, Yihui Ren, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024 — conf
AI Surrogate Model for Distributed Computing Workloads.
SC Workshops
David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024 J jnl
AI Surrogate Model for Distributed Computing Workloads.
CoRR
David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024 J jnl
Aligning Large Language Models with Self-generated Preference Data.
CoRR
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
2024 A* conf
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks.
ICLR
Dongwon Son, Jaehyung Kim, Sanghyeon Son, Beomjoon Kim
2024 J jnl
An intuitive multi-frequency feature representation for SO(3)-equivariant networks.
CoRR
Dongwon Son, Jaehyung Kim, Sanghyeon Son, Beomjoon Kim
2024 J jnl
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations.
CoRR
Dongwon Son, Sanghyeon Son, Jaehyung Kim, Beomjoon Kim
2024 J jnl
Few-shot Personalization of LLMs with Mis-aligned Responses.
CoRR
Jaehyung Kim, Yiming Yang
2024 A* conf
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.
ICLR
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.
CoRR
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
2024 A* conf
Learning to Correct for QA Reasoning with Black-box LLMs.
EMNLP
Jaehyung Kim, Dongyoung Kim, Yiming Yang
2024 J jnl
Learning to Correct for QA Reasoning with Black-box LLMs.
CoRR
Jaehyung Kim, Dongyoung Kim, Yiming Yang
2024 A* conf
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract).
AAAI
Ryan Koo, Yekyung Kim, Dongyeop Kang, Jaehyung Kim
2024 A* conf
Online Adaptation of Language Models with a Memory of Amortized Contexts.
NeurIPS
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 J jnl
Online Adaptation of Language Models with a Memory of Amortized Contexts.
CoRR
Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024 A* conf
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.
NeurIPS
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
2024 J jnl
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.
CoRR
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
2024 J jnl
SelectLLM: Can LLMs Select Important Instructions to Annotate?
CoRR
Ritik Sachin Parkar, Jaehyung Kim, Jong Inn Park, Dongyeop Kang
2024 A* conf
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.
ICLR
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.
CoRR
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
2024 J jnl
Tabular Transfer Learning via Prompting LLMs.
CoRR
Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin
2024 J jnl
Under the Surface: Tracking the Artifactuality of LLM-Generated Data.
CoRR
Debarati Das, Karin de Langis, Anna Martin-Boyle, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang
2023 — conf
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions.
NLPerspectives@ECAI
London Lowmanstone, Ruyuan Wan, Risako Owan, Jaehyung Kim, Dongyeop Kang
2023 J jnl
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions.
CoRR
London Lowmanstone, Ruyuan Wan, Risako Owan, Jaehyung Kim, Dongyeop Kang
2023 A* conf
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information.
AAAI
Ruyuan Wan, Jaehyung Kim, Dongyeop Kang
2023 J jnl
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information.
CoRR
Ruyuan Wan, Jaehyung Kim, Dongyeop Kang
2023 J jnl
Pre- and post-contact policy decomposition for non-prehensile manipulation with zero-shot sim-to-real transfer.
CoRR
Minchan Kim, Junhyek Han, Jaehyung Kim, Beomjoon Kim
2023 A conf
Pre-and Post-Contact Policy Decomposition for Non-Prehensile Manipulation with Zero-Shot Sim-To-Real Transfer.
IROS
Minchan Kim, Junhyek Han, Jaehyung Kim, Beomjoon Kim
2023 A* conf
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning.
ICML
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang
2023 J jnl
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning.
CoRR
Jaehyung Kim, Jinwoo Shin, Dongyeop Kang
2023 — conf
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
EMNLP (Findings)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023 J jnl
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
CoRR
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023 — conf
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information.
ACL (1)
Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang
2023 J jnl
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information.
CoRR
Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang
2022 A* conf
Patch-level Representation Learning for Self-supervised Vision Transformers.
CVPR
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
2022 J jnl
Patch-level Representation Learning for Self-supervised Vision Transformers.
CoRR
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
2022 A* conf
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.
ICLR
Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
2022 J jnl
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.
CoRR
Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
2022 A* conf
Time Is MattEr: Temporal Self-supervision for Video Transformers.
ICML
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
2022 J jnl
Time Is MattEr: Temporal Self-supervision for Video Transformers.
CoRR
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
2022 A* conf
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different.
ICLR
Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin
2020 A* conf
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.
NeurIPS
Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020 J jnl
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.
CoRR
Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020 A* conf
M2m: Imbalanced Classification via Major-to-Minor Translation.
CVPR
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2020 J jnl
M2m: Imbalanced Classification via Major-to-minor Translation.
CoRR
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2017 J jnl
Simplified Stochastic Feedforward Neural Networks.
CoRR
Kimin Lee, Jaehyung Kim, Song Chong, Jinwoo Shin