Evaluating LLMs for Code Generation: Accuracy, Latency, and Failure Modes

The content highlights a critical flaw in current LLM code generation evaluations: they often fail to capture real-world correctness beyond superficial passes. It argues against simplistic unit test benchmarks and proposes a more nuanced `weighted_accuracy` approach to uncover subtle failure modes.