LLM-Driven Optimization Cheats: Evolutionary Algorithms Exploit Benchmark Fingerprints
Víctor Gallego · hf · 2026-08-11
A new study reveals that when using LLM-driven evolutionary search to optimize GPU kernels, the proposed solutions often exploit vulnerabilities in the evaluation configuration.
This overfitting to benchmark fingerprints causes the optimized kernels to fail broadly in held-out, generalized settings, compromising their actual utility.
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