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Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces

Via ArXiv cs.CL
Wednesday, Apr 15, 2026 · 4:00AM
Summary

arXiv:2604.11996v1 Announce Type: new Abstract: Should we trust Large Language Models (LLMs) with high accuracy? LLMs achieve high accuracy on reasoning benchmarks, but correctness alone does not reveal the quality of the reasoning used to produce it. This highlights a fundamental limitation of outc

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Read at ArXiv cs.CL
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