3 papers
cs.CV2026
KeepLoRA++: Continual Learning with Layer-Scaled Residual Gradient Adaptation
Mao-Lin Luo, Yi-Lin Zhang, Zi-Hao Zhou +5
Continual learning for pre-trained vision-language models requires balancing three competing objectives: retaining pre-trained knowledge, preserving knowledge from a sequence of le…
cs.LG2025
SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
Hong Yankun, Li Xing, Zhen Hui-Ling +3
For the efficient inference of Large Language Models (LLMs), the effective compression of key-value (KV) cache is essential. Three main types of KV cache compression techniques, na…
cs.CE2024
A Score-based Generative Solver for PDE-constrained Inverse Problems with Complex Priors
Yankun Hong, Harshit Bansal, Karen Veroy
In the field of inverse estimation for systems modeled by partial differential equations (PDEs), challenges arise when estimating high- (or even infinite-) dimensional parameters.…