2 papers
cs.LG2026
Activation Compression in LLMs: Theoretical Analysis and Efficient Algorithm
Wen-Da Wei, Han-Bin Fang, Yang-Di Liu +3
Training large language models (LLMs) is highly memory-intensive, as training must store not only weights and optimizer states but also intermediate activations for backpropagation…
cs.RO2025
No Need for Real 3D: Fusing 2D Vision with Pseudo 3D Representations for Robotic Manipulation Learning
Run Yu, Yangdi Liu, Wen-Da Wei +1
Recently,vision-based robotic manipulation has garnered significant attention and witnessed substantial advancements. 2D image-based and 3D point cloud-based policy learning repres…