🧑‍🔬 Seungju Han

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2025–2026 · 3 paperscurrent🎓Boston UniversityBoston · United States2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent🏢SamsungSeoul · South Korea2008–2023 · 19 papers🏢Samsung Advanced Institute of TechnologySuwon-si2010–2023 · 18 papers🎓University of FloridaGainesville · United States2006–2010 · 13 papers🎓Kyung Hee UniversitySeoul · South Korea2021–2024 · 6 papers🏢Samsung ElectronicsSeoul · South Korea2013–2022 · 4 papers🎓Seoul National UniversitySeoul · South Korea2023–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs (2024 · 155 citations)
   Open safety classifiers for LLMs, such as Llama-Guard2, do reasonably well on plainly worded harmful requests.
2. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models (2024 · 89 citations)
   Frontier LLMs can still be jailbroken, and open safety-training data is scarce, since even open-weight models rarely publish theirs.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
2. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 89 citations
3. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444 · original ↗ · no summary yetNVIDIA: Aarti Basant et al.2025 · 39 citations
4. MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetChanwoo Park et al.2025 · 14 citations
5. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningProceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetSyeda Nahida Akter et al.2026 · 9 citations

🤝 Co-authors here

12 co-authors with a page, the most papers together first.

• Allyson Ettinger ×2
• Kavel Rao ×2
• Liwei Jiang ×2
• Nouha Dziri ×2
• Yejin Choi ×2
• Bill Yuchen Lin
• Faeze Brahman
• Maarten Sap
• Nathan Lambert
• Niloofar Mireshghallah
• Sachin Kumar
• Ximing Lu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Neural Information Processing Systems (NeurIPS) ×2: NeurIPS 2024 ×2
• Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
• Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 253 times (of the 141,840 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated 24 October 2026

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