Towards Efficient Threat Intelligence Instruction Tuning Via Quality-Aware and Optimal Transport-Guided Data Selection

High-quality data is essential for improving instruction tuning in threat intelligence analysis. However, existing methods for generating cybersecurity instruction data lack reliable quality assessment mechanisms, and gradient influence-based data selection methods primarily focus on single-sampl...