Papers by Jimin An
Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization (2024.lrec-main)
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| Challenge: | Recent code Pre-trained Language Models (PLMs) have shown great success in code defect detection tasks. |
| Approach: | They propose a method that integrates line-level defect localization into a unified training process to identify which lines contain defects. |
| Outcome: | The proposed method significantly improves performance on four benchmark datasets for code defect detection. |