Author

Anka Reuel

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Preprint Sep 2026

Embedded Assessments for Frontier AI

Third-party evaluations for frontier AI have mostly tested models through external interfaces before deployment. But the risks from frontier AI models depend on how their developers use and govern them internally. Recently, CEOs of frontier AI companies have committed to hosting embedded assessments. These assessments...

Jacob Charnock, Sophie Williams, Zaheed Kara et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Agent Evaluation Reliability: More Tasks Won't (Always) Fix An Agent Leaderboard

Agent evaluations are increasingly used to compare LLMs and inform deployment decisions, yet ranks can reflect not only the model but also the effects of the evaluation conditions such as the scaffolds or tasks. This makes reliability claim-dependent: an evaluation that reliably ranks deployed systems may not reliably...

Michael Hardy, Ruhana Azam, Anka Reuel et al. · 0 citations

Public AI Benchmarks Are Broken, But Are Private Benchmarks the Answer?

This work argues for a hybrid public-private approach: keeping the benchmark content private to maintain integrity while making the benchmark design public to build trust, which offers a path toward trustworthy measurement of ever-growing data-intensive AI systems.

Sang T. Truong, S. Wang, Angelina Wang et al. · 0 citations