Papers with automated agent framework

1 papers
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions (2026.acl-long)

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Challenge: Existing benchmarks for Large Language Models often lack coverage for subtle corner cases . a substantial amount of effort has been applied to address this challenge .
Approach: They propose a framework that generates adversarial test cases that expose latent vulnerabilities in code submissions.
Outcome: The proposed framework improves the True Negative Rate (TNR) of existing datasets and generates superior adversarial cases on liveCodeBench.

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