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Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research reveals local serving stacks like Ollama introduce hidden variables that alter tool-use evaluation metrics for open-source LLMs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 23 September 2026
- Collected by OneBench
- 24 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.26693v1 Announce Type: new Abstract: A coding agent must emit a valid tool call--a parseable invocation of a tool in the provided schema--before the harness…
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