作者位次 #2/3ACL 2026Findings· Findings of ACL
FLEXITOKENS : Flexible Tokenization for Evolving Language Models
Abraham Toluwase Owodunni · Orevaoghene Ahia · Sachin Kumar
摘要
Adapting language models to new data distributions by simple finetuning is challenging. This is due to the rigidity of their subword tokenizers, which typically remain unchanged during adaptation. This inflexibility often leads to inefficient tokenization, causing overfragmentation of text in out...