A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
The increasing adoption of large language models (LLMs) in software engineering necessitates rigorous security evaluation of their generated code. However, existing benchmarks often lack relevance to real-world AI-assisted programming scenarios, making them inadequate for…
- Year
- 2025
- Venue
- arXiv 2025
- Authors
- 22
- Hosting
- External sourcelicense unknown
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