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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
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Abstract & full text
arxiv.org/abs/2508.18106v3
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