14 citations · 26 across the 8 of their papers we have counts for
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cs.LG2024★ 14 cited
A Survey on Transformer Compression
Yehui Tang, Yunhe Wang, Jianyuan Guo +4
Transformer plays a vital role in the realms of natural language processing (NLP) and computer vision (CV), specially for constructing large language models (LLM) and large vision…
cs.LG2023★ 1 cited
CBQ: Cross-Block Quantization for Large Language Models
Xin Ding, Xiaoyu Liu, Zhijun Tu +8
Post-training quantization (PTQ) has played a key role in compressing large language models (LLMs) with ultra-low costs. However, existing PTQ methods only focus on handling the ou…