In a five-dataset benchmark, fine-tuned Llama-series LLMs match or beat smaller code models on some datasets, excel on long samples, yet class imbalance remains the dominant factor in detection performance.
Learning from noisy labels with deep neural networks: A survey[J]
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Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study
In a five-dataset benchmark, fine-tuned Llama-series LLMs match or beat smaller code models on some datasets, excel on long samples, yet class imbalance remains the dominant factor in detection performance.