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Decoupling Safety Assessment from Code Generation: Iterative Refinement with External Signals

https://doi.org/10.2139/ssrn.7203093

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1145/3379597.3387501openalex-snapshot

A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries

inferredcites →https://doi.org/10.1145/3708522openalex-snapshot

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

inferredcites →https://doi.org/10.1145/3728963openalex-snapshot

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering

inferredcites →https://doi.org/10.14722/ndss.2018.23158openalex-snapshot

VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.552openalex-snapshot

SimCSE: Simple Contrastive Learning of Sentence Embeddings

inferredcites →https://doi.org/10.18653/v1/2025.acl-long.849openalex-snapshot

Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective

inferredcites →https://doi.org/10.18653/v1/2025.emnlp-main.238openalex-snapshot

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs

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