Seungju Han

Affiliations:
  • Stanford University, Department of Computer Science, Stanford, CA, USA
  • Allen Institute for AI, Seattle, WA, USA (2022 - 2024)
  • Hyperconnect, Seoul, South Korea (2019 - 2022)
  • Seoul National University, South Korea (2017 - 2024)


According to our database1, Seungju Han authored at least 22 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers.
CoRR, June, 2025

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.
CoRR, May, 2025

DUSK: Do Not Unlearn Shared Knowledge.
CoRR, May, 2025

Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning.
CoRR, April, 2025

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.
CoRR, April, 2025

Representation Bending for Large Language Model Safety.
CoRR, April, 2025

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Representation Bending for Large Language Model Safety.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Champagne: Learning Real-world Conversation from Large-Scale Web Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Measuring and Improving Semantic Diversity of Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Disentangling Label Distribution for Long-Tailed Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020


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