Native Tool Calling and Correct Sampling Params Boost LLM Evals by >30 Points
xeophon · x · 2026-08-04
A developer points out that many LLM evaluations contain subtle mistakes. By switching to native tool calling, preserving the reasoning process, and setting correct sampling parameters, you can often achieve massive improvements of over 30 percentage points.
Experts are advised to look for these hidden errors or simply use verifiers alongside the native harness for accurate results.
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