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Found 2 papers, 2 papers with code
CYCLE: Learning to Self-Refine the Code Generation
Pre-trained code language models have achieved promising performance in code generation and improved the programming efficiency of human developers.
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
In this paper, we first formally define the self-consistency of Code LLMs and then design a framework, IdentityChain, which effectively and efficiently evaluates the self-consistency and conventional accuracy of a model at the same time.
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