pith:KZDVXHMN
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
CRUXEval benchmark reveals GPT-4 with chain-of-thought reaches only 75% and 81% on input and output prediction for short Python functions.
arxiv:2401.03065 v1 · 2024-01-05 · cs.SE · cs.AI · cs.LG
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Claims
The best setup, GPT-4 with chain of thought (CoT), achieves a pass@1 of 75% and 81% on input and output prediction, respectively. In contrast, Code Llama 34B achieves a pass@1 of 50% and 46% on input and output prediction.
That the 800 generated functions and their input-output pairs sufficiently represent the range of code reasoning and execution challenges encountered in practical programming.
CRUXEval benchmark shows current code models including GPT-4 achieve at most 81% on input and output prediction for short Python functions, exposing gaps not captured by HumanEval.
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| First computed | 2026-05-17T23:39:21.763738Z |
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| Builder | pith-number-builder-2026-05-17-v1 |
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Canonical hash
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