most citedFP8-BERT: Post-Training Quantization for Transformer

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2026

BiGain: Unified Token Compression for Joint Generation and Classification

Jiacheng Liu, Shengkun Tang, Jiacheng Cui +2

Acceleration methods for diffusion models (e.g., token merging or downsampling) typically optimize synthesis quality under reduced compute, yet often ignore discriminative capacity…

cs.CV2023

Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection

Jianwei Li, Weizhi Gao, Qi Lei +1

It is widely acknowledged that large and sparse models have higher accuracy than small and dense models under the same model size constraints. This motivates us to train a large mo…