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cs.CL2025
TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies
Guang Liang, Jie Shao, Ningyuan Tang +2
Native FP8 support in modern hardware is essential for training large Transformers, but is severely hindered by extreme activation outliers. Existing solutions either rely on compl…
cs.CL2025
Who Reasons in the Large Language Models?
Jie Shao, Jianxin Wu
Despite the impressive performance of large language models (LLMs), the process of endowing them with new capabilities--such as mathematical reasoning--remains largely empirical an…