Evaluating AI Code Generation on Novel Frameworks Beyond Pretraining Data

Abstract

A study evaluating large language models on code generation tasks targeting novel frameworks whose APIs lie outside common pretraining corpora — measuring how well current models generalize to recently released and niche software ecosystems.

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