Tag: binarization

Highly Efficient and Effective LLMs with Multi-Boolean Architectures arXiv:2505.22811v1 Announce Type: new Abstract: Weight binarization has emerged as a promising strategy to drastically reduce the complexity of large language models (LLMs). It is mainly classified into two approaches: post-training binarization and finetuning with training-aware binarization methods. The first approach, while having low complexity, leads to…