* denotes equal contribution.

2026

  1. Efficient LLM Collaboration via Planning
    Byeongchan Lee*, Jonghoon Lee*, Dongyoung Kim, Jaehyung Kim, Kyungjoon Park, Dongjun Lee, and Jinwoo Shin
    In Transactions on Machine Learning Research (TMLR), 2026
    Paper
  2. A11YN: Aligning LLMs for Accessible Web UI Code Generation
    Janghan Yoon, Jaegwan Cho, Junhyeok Kim, Jiwan Chung, Jaehyun Jeon, and Youngjae Yu
    In Conference on Language Modeling (COLM), 2026
    Paper
  3. Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms
    Hyunjin Cho, Youngji Roh, and Jaehyung Kim
    In Proceedings of the International Conference on Machine Learning (ICML), 2026
    Spotlight Presentation, 536/23198=2.19%
    Paper Code Website
  4. EMCee: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual Context
    Hamin Koo and Jaehyung Kim
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    Oral Presentation
    Paper Code
  5. Revisit What You See: Disclose Language Prior in Vision Tokens for Efficient Guided Decoding of LVLMs
    Beomsik Cho and Jaehyung Kim
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    Oral Presentation
    Paper Code
  6. Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models
    Youngji Roh, Hyunjin Cho, and Jaehyung Kim
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    Paper Code
  7. Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data
    Minseo Kwak and Jaehyung Kim
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    Paper Code Website
  8. Revisiting the Uniform Information Density Hypothesis in LLM Reasoning Traces
    Minju Gwak, Guijin Son, and Jaehyung Kim
    In Findings of Annual Meeting of the Association for Computational Linguistics (ACL), 2026
    Paper Code Website
  9. Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
    Minjae Kang and Jaehyung Kim
    In International Conference on Learning Representations (ICLR), 2026
    Paper Code Website
  10. Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
    Hamin Koo, Minseon Kim, and Jaehyung Kim
    In International Conference on Learning Representations (ICLR), 2026
    Paper Code Website
  11. TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
    Chanjoo Jung and Jaehyung Kim
    In International Conference on Learning Representations (ICLR), 2026
    Paper Code Website
  12. Prior-based Noisy Text Data Filtering: Fast and Strong Alternative for Perplexity
    Youngbin Seo, Gayoung Kim, Jaehyung Kim*, and Jinyoung Yeo*
    In International Conference on Learning Representations (ICLR), 2026
    Paper Code
  13. RPM: Reasoning-Level Personalization for Black-Box Large Language Models
    Jieyong Kim*, Tongyoung Kim*, Soojin Yoon, Jaehyung Kim, and Dongha Lee
    In International Conference on Learning Representations (ICLR), 2026
    Paper Code
  14. Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
    Jihoon Lee, Hoyeon Moon, Kevin Zhai, Arun Kumar Chithanar, Anit Kumar Sahu, Soummya Kar, Chul Lee, Souradip Chakraborty, and Amrit Singh Bedi
    In International Conference on Learning Representations (ICLR), 2026
    Paper Code Website
  15. Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting
    Yunhun Nam, Jaehyung Kim, and Jongheon Jeong
    In AAAI Conference on Artificial Intelligence (AAAI), 2026
    Oral Presentation
    Paper Code
  16. LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training
    Minju Gwak, Minseo Kwak, Deongseok Lee, Guijin Son, Alan Ritter, and Jaehyung Kim
    Under review, 2026
    Paper
  17. Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
    Jimyung Hong and Jaehyung Kim
    Under review, 2026
    Paper
  18. The Amazing Agent Race: Strong Tool Users, Weak Navigators
    Zae Myung Kim, Dongseok Lee, Jaehyung Kim, Vipul Raheja, and Dongyeop Kang
    Under review, 2026
    Paper
  19. RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models
    Dongyoung Kim, Sumin Park, Woomin Song, Seungku Kim, Taeyoung Kim, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, and Younggyo Seo
    Under review, 2026
    Paper
  20. InterPol: De-anonymizing LM Arena via Interpolated Preference Learning
    Minsung Cho and Jaehyung Kim
    Under review, 2026
    Paper
  21. INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery
    Yunhui Jang, Seonghyun Park, Jaehyung Kim, and Ahn Sungsoo
    Under review, 2026
    Paper Code Website
  22. SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation
    Seoyeon Kim and Jaehyung Kim
    Under review, 2026
    Paper Website

2025

  1. Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
    Yeongbin Seo, Dongha Lee, Jaehyung Kim, and Jinyoung Yeo
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
    Spotlight Presentation, 688/21575=3.19%
    Paper Code
  2. Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
    Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim*, and Younggyo Seo*
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
    Paper
  3. Personalized LLM Decoding via Contrasting Personal Preference
    Hyungjune Bu*, Chanjoo Jung*, Minjae Kang, and Jaehyung Kim
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
    Paper Code Website
  4. Improving Chemical Understanding of LLMs via SMILES Parsing
    Yunhui Jang, Jaehyung Kim, and Sungsoo Ahn
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
    Paper
  5. Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
    Kyuyoung Kim, Jinwoo Shin, and Jaehyung Kim
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
    Oral Presentation
    Paper Code
  6. Debiasing Online Preference Learning via Preference Feature Preservation
    Dongyoung Kim, Jinsung Yoon, Jinwoo Shin, and Jaehyung Kim
    In Findings of Annual Meeting of the Association for Computational Linguistics (ACL), 2025
    Paper Code
  7. Structural Reasoning Improves Molecular Understanding of LLM
    Yunhui Jang, Jaehyung Kim, and Sungsoo Ahn
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2025
    Paper
  8. ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
    Hyunseok Lee*, Seunghyuk Oh*, Jaehyung Kim, Jinwoo Shin, and Jihoon Tack
    In Proceedings of the International Conference on Machine Learning (ICML), 2025
    Paper Code
  9. Few-shot Personalization of LLMs with Mis-aligned Responses
    Jaehyung Kim and Yiming Yang
    In Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2025
    Paper Code
  10. Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
    Dongyoung Kim, Kimin Lee, Jinwoo Shin, and Jaehyung Kim
    In International Conference on Learning Representations (ICLR), 2025
    Oral Presentation, 207/11672=1.77%
    Paper Code
  11. Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing
    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 K. Park, Norbert Podhorszki, Yihui Ren, Frederic Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, and Alexei Klimentov
    Future Generation Computer Systems, 2025
    Paper
  12. Training-free LLM Verification via Recycling Few-shot Examples
    Dongseok Lee, Jimyung Hong, Dongyoung Kim, and Jaehyung Kim
    ICML Workshop ES-FoMo-III, 2025
    Spotlight Presentation, 14/146=9.59%
    Paper Code

2024

  1. Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
    Jaehyun Nam*, Kyuyoung Kim*, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, and Jinwoo Shin
    In Advances in Neural Information Processing Systems (NeurIPS), 2024
    Paper Code
  2. Online Adaptation of Language Models with a Memory of Amortized Contexts
    Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, and Jonathan Richard Schwarz
    In Advances in Neural Information Processing Systems (NeurIPS), 2024
    Paper Code
  3. Learning to Correct for QA Reasoning with Black-box LLMs
    Jaehyung Kim, Dongyoung Kim, and Yiming Yang
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
    Paper Code
  4. Tabular Transfer Learning via Prompting LLMs
    Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack, Sukmin Yun, Jaehyung Kim, Kyu Hwan Oh, and Jinwoo Shin
    In Conference on Language Modeling (COLM), 2024
    Paper Code
  5. Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
    Woomin Song*, Seunghyuk Oh*, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, and Jinwoo Shin
    In International Conference on Learning Representations (ICLR), 2024
    Paper Code
  6. 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, and Jinwoo Shin
    In International Conference on Learning Representations (ICLR), 2024
    Paper Code
  7. Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
    Hyosoon Jang, Yunhui Jang, Jaehyung Kim, and Sungsoo Ahn
    arXiv preprint, 2024
    Paper
  8. SelectLLM: Can LLMs Select Important Instructions to Annotate?
    Ritik Sachin Parkar*, Jaehyung Kim*, Jong Inn Park, and Dongyeop Kang
    arXiv preprint, 2024
    Paper
  9. Under the Surface: Tracking the Artifactuality of LLM-Generated Data
    Debarati Das*, Karin De Langis*, Anna Martin*, Jaehyung Kim*, Minhwa Lee*, Zae Myung Kim*, Shirley Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jonginn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, and Dongyeop Kang
    arXiv preprint, 2024
    Paper
  10. Meta-Crafting: Improved Detection of Out-of-distributed Texts via Crafting Metadata Space
    Ryan Koo, Yekyung Kim, Dongyeop Kang, and Jaehyung Kim
    AAAI 2024 Student Abstract, 2024
    Website

2023

  1. 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, and Madian Khabsa
    In Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
    Paper Code
  2. A Universal Framework for Dataset Characterization with Multidimensional Meta-information
    Jaehyung Kim, Yekyung Kim, Karin Johanna Langis, Jinwoo Shin, and Dongyeop Kang
    In Annual Meeting of the Association for Computational Linguistics (ACL), 2023
    Paper Code
  3. Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
    Jaehyung Kim, Jinwoo Shin, and Dongyeop Kang
    In Proceedings of the International Conference on Machine Learning (ICML), 2023
    Paper Code
  4. Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
    Ruyuan Wan, Jaehyung Kim, and Dongyeop Kang
    In AAAI Conference on Artificial Intelligence (AAAI), 2023
    Oral Presentation
    Paper Code

2022

  1. Time Is MattEr: Temporal Self-supervision for Video Transformers
    Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, and Jinwoo Shin
    In Proceedings of the International Conference on Machine Learning (ICML), 2022
    Paper Code
  2. Patch-level Representation Learning for Self-supervised Vision Transformers
    Sukmin Yun, Hankook Lee, Jaehyung Kim, and Jinwoo Shin
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Oral Presentation
    Paper Code
  3. What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
    Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, and Jinwoo Shin
    In International Conference on Learning Representations (ICLR), 2022
    Code
  4. Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
    Junhyun Nam, Jaehyung Kim, Jaeho Lee, and Jinwoo Shin
    In International Conference on Learning Representations (ICLR), 2022
    Paper

2020

  1. Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
    Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, and Jinwoo Shin
    In Advances in Neural Information Processing Systems (NeurIPS), 2020
    Paper Code
  2. M2m: Imbalanced Classification via Major-to-minor Translation
    Jaehyung Kim*, Jongheon Jeong*, and Jinwoo Shin
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    Code

2017

  1. Simplified Stochastic Feedforward Neural Networks
    Kimin Lee, Jaehyung Kim, Song Chong, and Jinwoo Shin
    arXiv preprint, 2017
    Paper