
Keeping AI Code Assistants Up-to-Date
A new benchmark for evaluating how LLMs adapt to API changes
CodeUpdateArena introduces the first benchmark for evaluating how code-generating AI models can update their knowledge when APIs evolve.
- Tests LLMs' ability to incorporate new programming API information
- Measures knowledge editing effectiveness across different programming languages
- Evaluates both traditional fine-tuning and newer knowledge editing techniques
This research addresses a critical engineering challenge: as software libraries constantly change, AI code assistants must stay current with the latest API specifications to remain reliable development tools.
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates