2 papers
cs.CV2026
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning
Rujie Wu, Haozhe Zhao, Hai Ci +1
Multimodal instruction tuning is often compute-inefficient because training budgets are spread across large mixed image-video pools whose utility is highly uneven. We present Goal-…
quant-ph2026
A Deep-Learning-Boosted Framework for Quantum Sensing with Nitrogen-Vacancy Centers in Diamond
Changyu Yao, Haochen Shen, Zhongyuan Liu +13
Nitrogen-vacancy (NV) centers in diamond are a versatile quantum sensing platform for high sensitivity measurements of magnetic fields, temperature and strain with nanoscale spatia…