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.
DuaLoc combines two pre-trained language models: UniXcoder for the semantic understanding of source code and GraphCodeBERT for awareness of data-flow structure and fine-tuned with a contrastive objective that shapes the embedding space around the localization task.
Amany AlBatlaa, M. Abdullah-Al-Wadud· Electronics· 0 citations
This work presents a deep learning approach for multilingual vulnerability detection that emphasizes semantic transfer rather than architectural complexity and suggests that stabilizing semantic representations during transfer is key to improving generalization while maintaining practical efficiency under moderate comp...
Tuan Nguyen Kim, Nin Ho Le Viet, Chieu Ta Quang· Engineering, Technology &...· 0 citations
A transformer-based classification framework that fine-tunes CodeBERT on a balanced dataset of 25,000+ bug-report segments drawn from four Apache projects is proposed and CodeBERT is the best-performing transformer in this comparison.
Kanwal Naz, Imran Shafi, M. Z. Mehmood et al.· Computers· 0 citations
The proposed Siamese Network-based Code Similarity Detection (SNCSD) approach computes contextual embeddings to capture both syntactic and semantic similarities between student-submitted code and reference solutions to offer a more accurate, transparent, and scalable alternative to traditional grading approaches.
Srujana Inturi, M. Swamydas, Meghana Reddy Chigarapalle et al.· SN Computer Science· 0 citations
A refined training strategy is presented, leveraging an encoder-based approach, to address two key challenges in FL: (1) the accurate classification of lines of code according to their suspiciousness scores, and (2) the class imbalance inherent in this type of problem.
Jesus-Angel del-Hoyo-Gabaldon, Antonio Garcia-Cabot, Eva García-López et al.· Applied Sciences· 0 citations
A semantic-aware framework that utilizes semantic embeddings, structural program features, and similarity metrics to construct a multi-channel representation, which is fed to a convolutional neural network for vulnerability detection, and then employed in a FAISS-based semantic similarity search for finding vulnerable...
Gurpreet Singh, Dhavleesh Rattan· International journal of com...· 0 citations
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