arXiv: PACE Predicts Agentic-Benchmark Scores From a Small Subset of Instances

arXiv·low signal

PACE (arXiv:2607.02032, July 2) investigates whether performance on expensive agentic benchmarks can be accurately predicted from a small, carefully selected subset of atomic evaluation instances. If it holds, teams could slash the compute and wall-clock cost of evaluating coding/agent models each iteration. The practical hook for builders is a cheaper regression-style eval signal for gating model or prompt changes without running the full suite.