Design of Selecting Security Solution Using Multi-objective Genetic Algorithm. - Yunghee Lee; Jaehun Jung; Chang Wook Ahn (BIC-TA (1), 2016)

AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue. - Jaehun Jung; Bokyung Son; Sungwon Lyu (EMNLP (1), 2020)

T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion. - Jaehun Jung; Jinhong Jung; U Kang (CoRR, 2020)

Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. - Jaehun Jung; Jinhong Jung; U Kang (KDD, 2021)

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. - Jaehun Jung; Lianhui Qin; Sean Welleck; Faeze Brahman; Chandra Bhagavatula; Ronan Le Bras 001; Yejin Choi 001 (EMNLP, 2022)

DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions. - GuHyun Han; Jaehun Jung; Young-Ho Kim; Jinwook Seo (CHI, 2023)

STEER: Unified Style Transfer with Expert Reinforcement. - Skyler Hallinan; Faeze Brahman; Ximing Lu; Jaehun Jung; Sean Welleck; Yejin Choi 001 (EMNLP (Findings), 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; et al. (EMNLP, 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; et al. (IMW, 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 001 (CoRR, 2023)

MHC : Multi-flit HBM Crossbar with Enhancing Performance and Resource Utilization. - Jaehun Jung; Jin-Hyeong Park; Young-Gil Jeong; Jeongwoo Park (ISOCC, 2024)

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models. - Jillian Fisher; Ximing Lu; Jaehun Jung; Liwei Jiang; Zaïd Harchaoui; Yejin Choi 001 (NAACL-HLT, 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 001 (NAACL-HLT, 2024)

Information-Theoretic Distillation for Reference-less Summarization. - Jaehun Jung; Ximing Lu; Liwei Jiang; Faeze Brahman; Peter West; Pang Wei Koh; Yejin Choi 001 (CoRR, 2024)

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement. - Jaehun Jung; Faeze Brahman; Yejin Choi 001 (ICLR, 2025)

COVID-19 prediction with doubly multi-task Gaussian Process. - Sooyon Kim; Yongtaek Lim; Sungjun Lim 002; Gyeongdeok Seo; Jihee Kim; Hojun Park; Jaehun Jung; Kyungwoo Song (J. Biomed. Informatics, 2025)

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. - Ximing Lu; Seungju Han 002; David Acuna; Hyunwoo Kim 002; Jaehun Jung; Shrimai Prabhumoye; Niklas Muennighoff; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. - Jaehun Jung; Seungju Han 002; Ximing Lu; Skyler Hallinan; David Acuna; Shrimai Prabhumoye; Mostafa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. - David Acuna; Ximing Lu; Jaehun Jung; Hyunwoo Kim 002; Amlan Kar; Sanja Fidler; Yejin Choi 001 (CoRR, 2025)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers. - Wooseok Seo; Seungju Han 002; Jaehun Jung; Benjamin Newman; Seungwon Lim; Seungbeen Lee; Ximing Lu; Ye Jin Choi 001; Youngjae Yu (CoRR, 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 001 (CoRR, 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 001; Sai Praneeth Karimireddy; Niloofar Mireshghallah; Xiang Ren 001 (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)