Avoiding Over-Specification in Coding Benchmarks
In brief
- Current coding benchmarks suffer from under-specification (approximate solutions) or over-specification (solutions bypassing challenges).
- Adding hints from ground truth solutions into task statements distorts results and reduces benchmark relevance.
- Techniques for more parsimonious hints are proposed to avoid these biases.
AI coding benchmarks face issues of under-specification (solutions guessing) or over-specification (solutions bypassing challenges). A study reveals that adding hints from ground truth solutions into task statements skews results. Techniques for more parsimonious hints are proposed.
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