1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Universal Approximation of Visual Autoregressive Transformers
Yifang Chen, Xiaoyu Li, Yingyu Liang +2
We investigate the fundamental limits of transformer-based foundation models, extending our analysis to include Visual Autoregressive (VAR) transformers. VAR represents a big step…
cs.LG2024★ 1 cited
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
Zhuoyan Xu, Zhenmei Shi, Junyi Wei +3
Foundation models have emerged as a powerful tool for many AI problems. Despite the tremendous success of foundation models, effective adaptation to new tasks, particularly those w…