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cs.CR2026
Towards Efficient Threat Intelligence Instruction Tuning via Quality-Aware and Optimal Transport-Guided Data Selection
Jiyu Tian, Mingchu Li, Xiangwei Chen +1
High-quality data is essential for improving instruction tuning in threat intelligence analysis. However, existing methods for generating cybersecurity instruction data lack reliab…
math.SP2026
Eigenspaces of Preserved Graph Laplacian Eigenvalues under Positive Edge-Weight Addition
Maribel Bueno, Susana Furtado, Javier Pérez
We study how the eigenspace associated with a fixed graph Laplacian eigenvalue changes under positive edge updates, allowing both new edges and increases in existing edge weights.…