2 papers
cs.AI2025
IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
Chenlin Ming, Chendi Qu, Mengzhang Cai +6
Large Language Models (LLMs) have achieved impressive performance through Supervised Fine-tuning (SFT) on diverse instructional datasets. When training on multiple capabilities sim…
eess.SY2025
Formation Maneuver Control Based on the Augmented Laplacian Method
Xinzhe Zhou, Xuyang Wang, Xiaoming Duan +2
This paper proposes a novel formation maneuver control method for both 2-D and 3-D space, which enables the formation to translate, scale, and rotate with arbitrary orientation. Th…