To overcome context windows limitations, researchers used retrieval-augmented generation to parse large amounts of text directly into tokens, and they fine-tuned the tool with pre-patch and post-patch code and combined it with vulnerability databases such as CVEFixes. The researchers then isolated sections of code into smaller units.
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