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PACE: A Proxy for Agentic Capability Evaluation
PACE predicts agentic benchmark scores from small, selected non-agentic test subsets via regression, achieving under 4% error and over 0.80 correlation at under 1% evaluation cost.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 18 on Hugging Face
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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5