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Shandong University of Finance

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#machine learning Preprint Sep 2026

EFQ-Softmax: Exp-Free Quantization for Softmax

EFQ-Softmax (Exp-Free Quantization for Softmax), a low-bit probability-generation method that directly maps shifted attention scores to block-scaled E2M1 operands, is proposed and shown to replace the conventional exp-then-quantize path while preserving end-to-end model quality.

Hao-Hui Han, Yu-Ming Wan, Hong-Ning Wang et al. · 0 citations

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