The Curious Case of LLM Evaluations


GPT-4: Evaluating coding tasks using language models like GPT-4 may not be as accurate as expected, as they can produce inconsistent scores and overlook errors. Decomposed testing, which evaluates atomic functions, offers a more precise approach to assessing coding tasks. Relying on language models for evaluation could discourage the development of new models with better coverage and lead to biased judgment in real-world applications.
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