Jaehyung Kim

According to our database, Jaehyung Kim authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Tabular Transfer Learning via Prompting LLMs.

Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, Jinwoo Shin

CoRR, 2024

DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations.

Dongwon Son, Sanghyeon Son, Jaehyung Kim, Beomjoon Kim

CoRR, 2024

Learning to Correct for QA Reasoning with Black-box LLMs.

Jaehyung Kim, Dongyoung Kim, Yiming Yang

CoRR, 2024

Few-shot Personalization of LLMs with Mis-aligned Responses.

Jaehyung Kim, Yiming Yang

CoRR, 2024

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.

Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin

CoRR, 2024

Aligning Large Language Models with Self-generated Preference Data.

Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim

CoRR, 2024

Online Adaptation of Language Models with a Memory of Amortized Contexts.

Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz

CoRR, 2024

SelectLLM: Can LLMs Select Important Instructions to Annotate?

Ritik Sachin Parkar, Jaehyung Kim, Jong Inn Park, Dongyeop Kang

CoRR, 2024

Under the Surface: Tracking the Artifactuality of LLM-Generated Data.

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

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

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 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 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, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.

Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks.

Dongwon Son, Jaehyung Kim, Sanghyeon Son, Beomjoon Kim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.

Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract).

Ryan Koo, Yekyung Kim, Dongyeop Kang, Jaehyung Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions.

London Lowmanstone, Ruyuan Wan, Risako Owan, Jaehyung Kim, Dongyeop Kang

Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

Pre-and Post-Contact Policy Decomposition for Non-Prehensile Manipulation with Zero-Shot Sim-To-Real Transfer.

Minchan Kim, Junhyek Han, Jaehyung Kim, Beomjoon Kim

IROS, 2023

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning.

Jaehyung Kim, Jinwoo Shin, Dongyeop Kang

Proceedings of the International Conference on Machine Learning, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information.

Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information.

Ruyuan Wan, Jaehyung Kim, Dongyeop Kang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Time Is MattEr: Temporal Self-supervision for Video Transformers.

Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin

Proceedings of the International Conference on Machine Learning, 2022

Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation.

Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin

Proceedings of the Tenth International Conference on Learning Representations, 2022

What Makes Better Augmentation Strategies? Augment Difficult but Not too Different.

Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Patch-level Representation Learning for Self-supervised Vision Transformers.

Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.

Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

M2m: Imbalanced Classification via Major-to-Minor Translation.

Jaehyung Kim, Jongheon Jeong, Jinwoo Shin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017

Simplified Stochastic Feedforward Neural Networks.

Kimin Lee, Jaehyung Kim, Song Chong, Jinwoo Shin

CoRR, 2017