Noise Floor Audit for Agent Benchmarks
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Computer Science > Computation and Language
Title:Noise Floor Audit for Agent Benchmarks
Abstract:We audit measurement variability for 3 native tool-calling endpoints across 2 providers on the official BFCL multiple and parallel categories, using matched AST grading. At temperature 0, reruns are nearly deterministic across Groq endpoints and a thinking-enabled Gemini setting: ever-flip fractions are 0.7%, 2.0%, and 2.7%, with mean run correlations of 0.997, 0.966, and 0.961. Semantics-preserving prompt perturbations create the larger floor on all endpoints, with median perturbation paired SDs 11x to 58x larger than rerun paired SDs. The failure character also shifts: malformed-output failures account for 30%, 7%, and <1% of task failures, so marginal accuracy hides not only stability but also failure mode.
| Comments: | 10 pages, 1 figure, 6 tables |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2608.22331 [cs.CL] |
| (or arXiv:2608.22331v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.22331
arXiv-issued DOI via DataCite (pending registration)
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