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Fisher-Guided Adaptive Multimodal Fusion Proposed for Vulnerability Detection
A new arXiv preprint treats software vulnerability detection as a binary classification task and proposes a fusion approach guided by Fisher information to combine natural code sequence representations with other modalities. The method aims to adaptively weight each modality's contribution rather than fusing them uniformly. The work targets improved accuracy in flagging code snippets that contain security defects.