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Rogers on Lille test and McGinn return

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IEEE

Detecting Source Code Vulnerabilities Using Fine-Tuned Pre-Trained LLMs

Abstract: Pre-trained large language models (LLMs) have advanced capabilities in feature extraction and pattern discovery. Utilizing fine-tuning techniques effectively adapts LLMs to specific ...
IEEE

Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks

Abstract: Pre-trained code models are essential for various code intelligence tasks. Yet, their effectiveness is heavily influenced by the quality of the pre-training dataset, particularly ...