HSPR: Efficient Software Agent Benchmarking via Hierarchical Inference
October 16, 2026
Hierarchical Score Posterior Recovery (HSPR) recovers full benchmark scores using small task subsets and posterior-guided acquisition. It uses source-fitted response factors and uncertain group success rates to estimate agent performance with reduced evaluation costs.
HOW THIS AFFECTS YOU
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builderThis allows for faster iteration cycles when testing new agentic workflows against standard benchmarks.
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researcherYou can more accurately estimate agent rankings without running exhaustive, expensive benchmark suites.