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cs.LG2026
Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
Xin He, Yuling Jiao, Xiliang Lu +1
We explore the expressive power of Transformers by establishing precise approximation error upper and lower bounds for Hölder class. Specifically, a new approximation upper bound i…
cs.LG2025
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs
Zihao Zeng, Chubo Liu, Xin He +5
Transformer-based large language models (LLMs) have demonstrated exceptional capabilities in sequence modeling and text generation, with improvements scaling proportionally with mo…