Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
- Published
- Source
- arXiv
- Paper number
- 327
- Field
- Software Engineering
- arXiv ID
- 2606.06492
Key points
- A hypernetwork generates repository-specific LoRA adapters to inject repository knowledge at inference time without token overhead.
- It supports two modes, Code2LoRA-Static for static snapshots and Code2LoRA-Evo for evolving codebases.
- Code2LoRA-Evo adapts to commit-level diffs with a GRU hidden state.
- It introduces RepoPeftBench, a new benchmark built from 604 Python repositories.
- It comes close to the repository-specific LoRA upper bound with 66.2 percent exact match on the static track and 60.3 percent exact match on the evolving track.
Paper links
External research summaries. These are not HDATF publications or measured product results.