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#Fuzzing
Three entries on this site carry the Fuzzing tag: two papers and one post, dated 2026. Explore the full list of related work below.
Every entry here also appears under Code Generation, alongside one more, so that is the page to link to.
Papers
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Test-Input Generation for Tensor Programs: What Actually Finds Kernel Bugs
Paper · 2026 · arXiv · cited by 0 Seven test-input generation strategies evaluated on the 26-op gpuemu corpus, reporting bug recall and control false-positive rate. -
The Correctness Illusion in LLM-Generated GPU Kernels
Paper · 2026 · arXiv · cited by 6 Fixed-shape allclose checks used by LLM-kernel benchmarks certify buggy kernels as correct. Under op-schema-aware seeded fuzzing with an fp64 reference and per-(op, dtype) tolerances, a 26-op corpus shows 10 of 10 seeded illusions caught and 16 of 16 controls.
Posts
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Why GPU Kernel Benchmarks Miss Real Bugs
Post · 2026 Passing a correctness benchmark and being correct in production are different claims for LLM-generated GPU kernels — the gap comes down to which inputs get sampled.