Length-MAX Tokenizer for Language Models

This article likely introduces a new tokenizer designed to optimize the performance of language models. The focus is on tokenization, a crucial step in processing text data for these models. The 'Length-MAX' aspect suggests a specific approach to token selection, potentially aiming for improved efficiency or accuracy. The source being ArXiv indicates this is a research paper, suggesting a technical and potentially complex subject matter.