🔗 Who cites «Evaluating Frontier Models for Dangerous Capabilities»

26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Evaluating Frontier Models for Dangerous Capabilities»

1. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
2. OpenAI o1 System CardarXiv:2412.16720OpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,110 citations
3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
4. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
5. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningarXiv:2403.03218Nathaniel Li, Alexander Pan, Anjali Gopal, et al.2024 · 127 citations
6. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
7. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
8. Measuring AI Ability to Complete Long Software TasksConference on Neural Information Processing Systems (NeurIPS)Thomas Kwa, Ben West, Joel Becker, et al.2025 · 36 citations
9. AI Sandbagging: Language Models can Strategically Underperform on EvaluationsarXiv:2406.07358Teun van der Weij, Felix Hofstatter, Ollie Jaffe, et al.2024 · 22 citations

17 more papers of our library cite it; they have no page here yet.

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