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ORCIDSeungju Han 0002
Person information
- affiliation: Stanford University, Department of Computer Science, Stanford, CA, USA
- affiliation (2022 - 2024): Allen Institute for AI, Seattle, WA, USA
- affiliation (2019 - 2022): Hyperconnect, Seoul, South Korea
- affiliation (2017 - 2024): Seoul National University, South Korea
Other persons with the same name
- Seungju Han — disambiguation page
- Seungju Han 0001
![[0000-0001-7293-1419]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7293-1419")
— Samsung Electronics, Samsung Advanced Institute of Technology (SAIT), Suwon, South Korea (and 1 more)
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2020 – today
- 2025
[c16]Ashkan Yousefpour, Taeheon Kim, Ryan Sungmo Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi:
Representation Bending for Large Language Model Safety. ACL (1) 2025: 24073-24098- [c15]Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim:
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. ACL (1) 2025: 30215-30248 - [c14]Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi:
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. ICLR 2025 - [c13]Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu:
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. NAACL (Findings) 2025: 8397-8437 - [i21]Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim:
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. CoRR abs/2502.18439 (2025) - [i20]Ashkan Yousefpour, Taeheon Kim, Ryan S. Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi:
Representation Bending for Large Language Model Safety. CoRR abs/2504.01550 (2025) - [i19]Ximing Lu, Seungju Han, David Acuna, Hyunwoo Kim, Jaehun Jung, Shrimai Prabhumoye, Niklas Muennighoff, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi:
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. CoRR abs/2504.04383 (2025) - [i18]Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, Seungju Han, Ying Lin, Evelina Bakhturina, Eric Nyberg, Yejin Choi, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning. CoRR abs/2504.13941 (2025) - [i17]Wonje Jeung, Sangyeon Yoon, Hyesoo Hong, Soeun Kim, Seungju Han, Youngjae Yu, Albert No:
DUSK: Do Not Unlearn Shared Knowledge. CoRR abs/2505.15209 (2025) - [i16]Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostafa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi:
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. CoRR abs/2505.20161 (2025) - [i15]Wooseok Seo, Seungju Han, Jaehun Jung, Benjamin Newman, Seungwon Lim, Seungbeen Lee, Ximing Lu, Ye Jin Choi, Youngjae Yu:
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers. CoRR abs/2506.13342 (2025) - 2024
- [c12]Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu:
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. EMNLP 2024: 2423-2451 - [c11]Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh:
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. NAACL-HLT (Findings) 2024: 1149-1167 - [c10]Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Yejin Choi, Nouha Dziri:
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. NeurIPS 2024 - [c9]Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri:
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. NeurIPS 2024 - [i14]Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu:
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. CoRR abs/2406.14703 (2024) - [i13]Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Yejin Choi, Nouha Dziri:
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. CoRR abs/2406.18495 (2024) - [i12]Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri:
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. CoRR abs/2406.18510 (2024) - [i11]Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu:
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. CoRR abs/2406.18925 (2024) - [i10]Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi:
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. CoRR abs/2410.04265 (2024) - 2023
- [c8]Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu:
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. EMNLP 2023: 894-914 - [c7]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
Champagne: Learning Real-world Conversation from Large-Scale Web Videos. ICCV 2023: 15452-15463 - [i9]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos. CoRR abs/2303.09713 (2023) - [i8]Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu:
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. CoRR abs/2310.10418 (2023) - [i7]Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh:
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. CoRR abs/2312.09818 (2023) - 2022
- [c6]Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang:
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. ConvAI@ACL 2022: 218-230 - [c5]Seungju Han, Beomsu Kim, Buru Chang:
Measuring and Improving Semantic Diversity of Dialogue Generation. EMNLP (Findings) 2022: 934-950 - [c4]Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang:
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. NAACL-HLT 2022: 5114-5132 - [i6]Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, Buru Chang:
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances. CoRR abs/2204.10825 (2022) - [i5]Seungju Han, Beomsu Kim, Buru Chang:
Measuring and Improving Semantic Diversity of Dialogue Generation. CoRR abs/2210.05725 (2022) - 2021
- [c3]Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang:
Disentangling Label Distribution for Long-Tailed Visual Recognition. CVPR 2021: 6626-6636 - [c2]Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang:
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. EMNLP (Findings) 2021: 3357-3373 - [i4]Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang:
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation. CoRR abs/2108.12582 (2021) - [i3]Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang:
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation. CoRR abs/2112.06723 (2021) - 2020
- [c1]Seungwoo Choi, Seungju Han, Dongyoung Kim, Sungjoo Ha:
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding. INTERSPEECH 2020: 2007-2011 - [i2]Seungwoo Choi, Seungju Han, Dongyoung Kim, Sungjoo Ha:
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding. CoRR abs/2005.08484 (2020) - [i1]Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang:
Disentangling Label Distribution for Long-tailed Visual Recognition. CoRR abs/2012.00321 (2020)
Coauthor Index
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