TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior

This article likely presents research on how different tokenization methods affect the performance and behavior of Language Models (LLMs). The focus is on understanding the impact of tokenizer choice, which is a crucial aspect of LLM design and training. The source being ArXiv suggests a peer-reviewed or pre-print research paper.