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MMAIGCD — Multimodal multilingual AI-generated code detection
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DOI：10.1016/j.jss.2026.113038.png)
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Abstract
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• Novel multimodal detector combining semantic features detects AI-generated code. • Five evaluation settings: in-distribution, OOD, cross-language, paraphrasing, task-level • Robust to adversarial paraphrasing with minimal performance degradation. • Robust generalization across unseen LLMs and programming languages. • Visual and semantic modalities capture complementary patterns in source code
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