Jaehun Jung

According to our database, Jaehun Jung authored at least 34 papers between 2016 and 2026.

Collaborative distances:

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

2026

Data Adaptive Stochastic Ensemble Net: Optimizing Infection Predictions for COVID-19 Cluster Analysis.

Sungjun Lim, YongTaek Lim, Hojun Park, Junggu Lee, Jaehun Jung, Kyungwoo Song

IEEE J. Biomed. Health Informatics, June, 2026

Introspective X Training: Feedback Conditioning Improves Scaling Across all LLM Training Stages.

Brandon Cui, Ximing Lu, Jaehun Jung, Syeda Nahida Akter, Hyunwoo Kim, Yuxiao Qu, David Acuna, Shrimai Prabhumoye, Yejin Choi, Prithviraj Ammanabrolu

CoRR, May, 2026

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning.

Bosung Kim, Ruiyi Wang, David Acuna, Jaehun Jung, Alexander Trevithick, Brandon Cui, Yejin Choi, Prithviraj Ammanabrolu

CoRR, May, 2026

DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal Distillation.

Jaehun Jung, Hyunwoo Kim, Brandon Cui, Ximing Lu, David Acuna, Prithviraj Ammanabrolu, Yejin Choi

CoRR, May, 2026

Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG.

Seungju Han, Konwoo Kim, Chanwoo Park, Benjamin Newman, Suhas Kotha, Jaehun Jung, James Zou, Yejin Choi

CoRR, March, 2026

Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch.

Hyunwoo Kim, Niloofar Mireshghallah, Michael Duan, Rui Xin, Shuyue Stella Li, Jaehun Jung, David Acuna, Qi Pang, Hanshen Xiao, G. Edward Suh, Sewoong Oh, Yulia Tsvetkov, Pang Wei Koh, Yejin Choi

CoRR, February, 2026

Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text.

Ximing Lu, David Acuna, Jaehun Jung, Jian Hu, Di Zhang, Shizhe Diao, Yunheng Zou, Shaokun Zhang, Brandon Cui, Mingjie Liu, Hyunwoo Kim, Prithviraj Ammanabrolu, Jan Kautz, Yi Dong, Yejin Choi

CoRR, January, 2026

Low-light image enhancement via distribution of latent transitions.

Jaehun Jung, Wonjun Kim

J. Vis. Commun. Image Represent., 2026

2025

Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale.

David Acuna, Chao-Han Huck Yang, Yuntian Deng, Jaehun Jung, Ximing Lu, Prithviraj Ammanabrolu, Hyunwoo Kim, Yuan-Hong Liao, Yejin Choi

CoRR, November, 2025

ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge.

Zhilin Wang, Jaehun Jung, Ximing Lu, Shizhe Diao, Ellie Evans, Jiaqi Zeng, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong

CoRR, October, 2025

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage.

Skyler Hallinan, Jaehun Jung, Melanie Sclar, Ximing Lu, Abhilasha Ravichander, Sahana Ramnath, Yejin Choi, Sai Praneeth Karimireddy, Niloofar Mireshghallah, Xiang Ren

CoRR, August, 2025

The Curious Case of Factuality Finetuning: Models' Internal Beliefs Can Improve Factuality.

Benjamin Newman, Abhilasha Ravichander, Jaehun Jung, Rui Xin, Hamish Ivison, Yegor Kuznetsov, Pang Wei Koh, Yejin Choi

CoRR, July, 2025

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers.

Wooseok Seo, Seungju Han, Jaehun Jung, Benjamin Newman, Seungwon Lim, Seungbeen Lee, Ximing Lu, Ye Jin Choi, Youngjae Yu

CoRR, June, 2025

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.

Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostafa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi

CoRR, May, 2025

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.

Ximing Lu, Seungju Han, David Acuna, Hyunwoo Kim, Jaehun Jung, Shrimai Prabhumoye, Niklas Muennighoff, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi

CoRR, April, 2025

COVID-19 prediction with doubly multi-task Gaussian Process.

Sooyon Kim, Yongtaek Lim, Sungjun Lim, Gyeongdeok Seo, Jihee Kim, Hojun Park, Jaehun Jung, Kyungwoo Song

J. Biomed. Informatics, 2025

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.

Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.

Jaehun Jung, Faeze Brahman, Yejin Choi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions.

David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis.

Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Information-Theoretic Distillation for Reference-less Summarization.

Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi

CoRR, 2024

Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model.

Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models.

Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MHC : Multi-flit HBM Crossbar with Enhancing Performance and Resource Utilization.

Jaehun Jung, Jin-Hyeong Park, Young-Gil Jeong, Jeongwoo Park

Proceedings of the 21st International SoC Design Conference, 2024

2023

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing.

Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi

CoRR, 2023

Improvement of GIDL-assisted Erase by using Surrounded BL PAD Structure for VNAND.

Suhwan Lim, Samki Kim, Changhee Lee, Hyeongwon Choi, Nambin Kim, Jaehun Jung, Hanvit Yang, Tae-Hun Kim, Junhee Lim, Daewon Ha, Sunghoi Hur, Jae-hoon Jang, Yu-Gyun Shin, Jaihyuk Song

Proceedings of the IEEE International Memory Workshop, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

STEER: Unified Style Transfer with Expert Reinforcement.

Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi

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

DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions.

GuHyun Han, Jaehun Jung, Young-Ho Kim, Jinwook Seo

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion.

Jaehun Jung, Jinhong Jung, U Kang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion.

Jaehun Jung, Jinhong Jung, U Kang

CoRR, 2020

AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue.

Jaehun Jung, Bokyung Son, Sungwon Lyu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2016

Design of Selecting Security Solution Using Multi-objective Genetic Algorithm.

Yunghee Lee, Jaehun Jung, Chang Wook Ahn

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016