Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding. - Seungwoo Choi; Seungju Han 002; Dongyoung Kim; Sungjoo Ha (INTERSPEECH, 2020)

Disentangling Label Distribution for Long-Tailed Visual Recognition. - Youngkyu Hong; Seungju Han 002; Kwanghee Choi; Seokjun Seo; Beomsu Kim; Buru Chang (CVPR, 2021)

Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. - Beomsu Kim; Seokjun Seo; Seungju Han 002; Enkhbayar Erdenee; Buru Chang (EMNLP (Findings), 2021)

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. - Seungju Han 002; Beomsu Kim; Seokjun Seo; Enkhbayar Erdenee; Buru Chang (ConvAI@ACL, 2022)

Measuring and Improving Semantic Diversity of Dialogue Generation. - Seungju Han 002; Beomsu Kim; Buru Chang (EMNLP (Findings), 2022)

Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. - Seungju Han 002; Beomsu Kim; Jin Yong Yoo; Seokjun Seo; Sangbum Kim; Enkhbayar Erdenee; Buru Chang (NAACL-HLT, 2022)

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. - Seungju Han 002; Junhyeok Kim 002; Jack Hessel; Liwei Jiang; Jiwan Chung; Yejin Son; Yejin Choi 001; Youngjae Yu (EMNLP, 2023)

Champagne: Learning Real-world Conversation from Large-Scale Web Videos. - Seungju Han 002; Jack Hessel; Nouha Dziri; Yejin Choi 001; Youngjae Yu (ICCV, 2023)

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. - Jiwan Chung; Sungjae Lee 003; Minseo Kim; Seungju Han 002; Ashkan Yousefpour; Jack Hessel; Youngjae Yu (EMNLP, 2024)

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. - Lee Hyun; Kim Sung-Bin; Seungju Han 002; Youngjae Yu; Tae-Hyun Oh (NAACL-HLT (Findings), 2024)

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. - Seungju Han 002; Kavel Rao; Allyson Ettinger; Liwei Jiang; Bill Yuchen Lin; Nathan Lambert 001; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. - Liwei Jiang; Kavel Rao; Seungju Han 002; Allyson Ettinger; Faeze Brahman; Sachin Kumar 009; Niloofar Mireshghallah; Ximing Lu; Maarten Sap; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. - Chanwoo Park; Seungju Han 002; Xingzhi Guo; Asuman E. Ozdaglar; Kaiqing Zhang; Joo-Kyung Kim (ACL (1), 2025)

Representation Bending for Large Language Model Safety. - Ashkan Yousefpour; Taeheon Kim; Ryan Sungmo Kwon; Seungbeen Lee; Wonje Jeung; Seungju Han 002; Alvin Wan; Harrison Ngan; Youngjae Yu; Jonghyun Choi (ACL (1), 2025)

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. - Ximing Lu; Melanie Sclar; Skyler Hallinan; Niloofar Mireshghallah; Jiacheng Liu 010; Seungju Han 002; Allyson Ettinger; Liwei Jiang; Khyathi Raghavi Chandu; Nouha Dziri; Yejin Choi 001 (ICLR, 2025)

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. - Seungbeen Lee; Seungwon Lim; Seungju Han 002; Giyeong Oh; Hyungjoo Chae; Jiwan Chung; Minju Kim; Beong-woo Kwak; Yeonsoo Lee; Dongha Lee 003; Jinyoung Yeo; Youngjae Yu (NAACL (Findings), 2025)

Representation Bending for Large Language Model Safety. - Ashkan Yousefpour; Taeheon Kim; Ryan S. Kwon; Seungbeen Lee; Wonje Jeung; Seungju Han 002; Alvin Wan; Harrison Ngan; Youngjae Yu; Jonghyun Choi (CoRR, 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)

Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning. - Syeda Nahida Akter; Shrimai Prabhumoye; Matvei Novikov; Seungju Han 002; Ying Lin; Evelina Bakhturina; Eric Nyberg; Yejin Choi 001; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2025)

DUSK: Do Not Unlearn Shared Knowledge. - Wonje Jeung; Sangyeon Yoon; Hyesoo Hong; Soeun Kim; Seungju Han 002; Youngjae Yu; Albert No (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)

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)