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20202026
most citedA Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules

3 citations · 7 across the 5 of their papers we have counts for

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cs.LG2026

HiFloat4 Format for Language Model Pre-training on Ascend NPUs

Mehran Taghian, Yunke Peng, Xing Huang +22

Training large foundation models at low numerical precision is one of the most promising directions for reducing the compute and memory cost of modern AI. Recent 4-bit floating-poi…

cs.LG2026

HiFloat4 Format for Language Model Inference

Yuanyong Luo, Jing Huang, Yu Cheng +19

This paper introduces HiFloat4 (HiF4), a block floating-point data format tailored for deep learning. Each HiF4 unit packs 64 4-bit elements with 32 bits of shared scaling metadata…