5 papers
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
Yifang Chen, Xuyang Guo, Xiaoyu Li +3
Recently, Large Language Models (LLMs) have achieved remarkable success. A key factor behind this success is the scaling law observed by OpenAI. Specifically, for models with Trans…
Visual Autoregressive Transformers Must Use Memory
Yang Cao, Xiaoyu Li, Yekun Ke +3
A fundamental challenge in Visual Autoregressive models is the substantial memory overhead required during inference to store previously generated representations. Despite various…
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…
Circuit Complexity Bounds for Visual Autoregressive Model
Yekun Ke, Xiaoyu Li, Yingyu Liang +2
Understanding the expressive ability of a specific model is essential for grasping its capacity limitations. Recently, several studies have established circuit complexity bounds fo…
Search for hyperon violating decay
BESIII Collaboration, M. Ablikim, M. N. Achasov +566
Using a data sample of decay events collected with the BESIII detector at the center-of-mass energy of GeV, we present a sea…