ResearchResearch paperEfficiency & Inference · Large Language Models · Evaluation & Benchmarks1 source · Oct 16, 2026

Between Spoilers and Guesswork: Avoiding Over-Specification in Coding Benchmarks

Benchmarks drive AI progress, but are hampered by task under-specification and over-specification.

Key points

  • Task under-specification causes guesswork, where solutions have to make things up, or worse, resort to contamination or reward hacking.
  • Task over-specification causes spoilers, where solutions can bypass some of the harder steps the benchmark was supposed to measure.
  • Repository-level coding benchmarks have helped the field progress but experience unnecessary churn due to both over- and under-specification.
  • We show that leaking ground-truth information into the task statement causes over-specification in some of these benchmarks.

Sources (1)

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