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Podcast: Arxiv Papers
Episode: Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
Description:
The paper presents LintSeq, a synthetic data generation algorithm that refactors code into edit sequences, improving LLM performance in code synthesis and achieving state-of-the-art results with smaller models.
https://arxiv.org/abs//2410.02749
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