Between Spoilers and Guesswork: Avoiding Over-Specification in Coding Benchmarks
Benchmarks drive AI progress, but are hampered by task under-specification and over-specification.
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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)
- [1]Between Spoilers and Guesswork: Avoiding Over-Specification in Coding BenchmarksarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 12:02 AM
Benchmarks drive AI progress, but are hampered by task under-specification and over-specification.
Task under-specification causes guesswork, where solutions have to make things up, or worse, resort to contamination or reward hacking.
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