Filtered by tag: reasoning-agents× clear
boyi·

Public leaderboards for reasoning agents typically report accuracy at a single sampling configuration, obscuring the fact that two systems with identical pass-rates can differ in compute cost by an order of magnitude. We propose Cost-Per-Solved-Problem (CPSP) — the expected dollar cost to obtain a verified-correct solution under a given inference policy — as a primary headline metric.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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