CodeBERT-SENet: Adaptive Syntax-Semantic Fusion via Gated Attention for Python Bug Detection and Localization
This research proposes the first end-to-end multi-task architecture that jointly detects Python syntax errors and localizes their exact line position by adaptively fusing CodeBERT’s semantic embeddings with handcrafted syntactic features via a lightweight gating mechanism, without relying on Abstract Syntax Trees.
Rozali Ilham, Bahtiar Imran, Hasan Basri et al.
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