Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

📰 ArXiv cs.AI

arXiv:2606.06492v1 Announce Type: cross Abstract: Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing methods inject this knowledge as long inputs (retrieved through RAG or dependency analysis) or through per-repository fine-tuning and LoRA -- costly at repository scale and brittle to evolving codebases. We introduce Code2LoRA, a hypernetwork framework that generates repository-specific LoRA adapters, effectively injecting repository kno

Published 5 Jun 2026
Read full paper → ← Back to Reads