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Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles

Du, Mingzhe et al.
arXiv (All) · Papers
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machine-learningprogramming-languages
Benchmarks for LLM-generated GPU kernels decide correctness with a few random inputs and a loose floating-point tolerance, and their verdicts now feed leaderboards and reinforcement-learning rewards. Recent work agrees these checkers are weak and patches them by hand---extra input distributions, fuz
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