functional-correctness-testing-is-the-standard-for-grading-code CLM-0060
mechanismsingle paperReviewed by AI and Russ Miller

Grading generated code by whether it actually passes held-out functional tests, rather than by surface similarity to a reference solution, is what makes code generation gradeable at scale — and it's how the field has graded it since the earliest large benchmarks.

Capability: Generating and editing working code · Reasoning

Observed on

2021, Codex/GPT-3 class. Coding agent.

Sources

Reviewed by AI and Russ MillerLast checked: 2026-09-04Evidence activityHow much the field cites the sources under this claimvery heavily cited in the last 12 months1000+ in 12mo · 11293 total — Evaluating Large Language Models Trained on Code
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