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Intermediate

Denis Makhov, Dmitriy Shopkhoev et al.Feb 16arXiv

COMPOT is a training-free way to shrink Transformer models while keeping their smarts.

#Transformer compression#orthogonal dictionary learning#orthogonal Procrustes

Intermediate

Hyochan Chong, Dongkyu Kim et al.Feb 6arXiv

NanoQuant is a new way to shrink large language models down to 1-bit and even less than 1-bit per weight without retraining on huge datasets.

#post-training quantization#sub-1-bit quantization#binary LLMs

Intermediate

Zhongqian Fu, Tianyi Zhao et al.Feb 2arXiv

World models are AI tools that imagine the future so a robot can plan what to do next, but they are expensive to run many times in a row.

#world models#post-training quantization#DINO-WM

Papers3