PACE: A Proxy for Agentic Capability Evaluation

Researchers introduced PACE, a framework that predicts expensive agentic LLM benchmark performance using a small subset of atomic evaluation instances with high accuracy at a fraction of the cost. This allows practitioners to estimate agentic performance during model development, selection, and routing without full agent evaluation.

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