3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CR2025★ 1 cited
BaxBench: Can LLMs Generate Correct and Secure Backends?
Mark Vero, Niels Mündler, Victor Chibotaru +5
Automatic program generation has long been a fundamental challenge in computer science. Recent benchmarks have shown that large language models (LLMs) can effectively generate code…
cs.CR2024★ 3 cited
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
Berkay Berabi, Alexey Gronskiy, Veselin Raychev +3
The automated program repair field has attracted substantial interest over the years, but despite significant research efforts, creating a system that works well for complex semant…