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Showing papers from University of California, San Francisco Show all papers

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NeurIPS 2026Qualified HealthU California, San FranciscoWaymoLLM evaluation & benchmarks

Efficient evaluation and error pattern discovery for blackbox AI systems

Maxim Rabinovich, Harvineet Singh, Aman Sinha

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026U California, San FranciscoCenter for Research in FoundatioUCSFAI oversight & deception

Adaptive auditing of AI systems with anytime-valid guarantees

An adaptive auditing framework using anytime-valid betting tests rigorously evaluates AI failure modes with as few as 20 observations and certifies global robustness upon passing stringent audits.

Siyu Zhou, Patrick Vossler, Venkatesh Sivaraman, Yifan Mai and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5