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News/Benchmarking Large Language Models on Floating-Point Error Classification
arxiv
PublishedJuly 1, 2026 at 4:00 AM
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Benchmarking Large Language Models on Floating-Point Error Classification

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arXiv:2606.31308v1 Announce Type: new Abstract: This paper investigates the capability of Large Language Models (LLMs) to detect and classify floating-point errors statically in software code. We introduce InterFLOPBench, a benchmark of 90 C kernels with 1 130 test samples designed to evaluate LLMs

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