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This paper introduces Code2LoRA, a hypernetwork-based method to generate adapters for code language models, addressing challenges under software evolution.
Code2LoRA introduces a hypernetwork that generates LoRA adapters from a repository in a single forward pass, allowing frozen code LLMs to adapt to repository context without extra tokens, and supporting evolving codebases efficiently. It also delivers RepoPeftBench, a benchmark for repo-conditioned code modeling.