作者位次 #2/5ACL 2026Poster· Natural Language Processing
A dam’s Law: Textual Frequency Law on Large Language Models
Hongyuan Lu · Zixuan Li · Zefan Zhang · Bowen Cao · Wai Lam
摘要
While textual frequency has been validated as relevant to human cognition in reading speed, its relatedness to Large Language Models (LLMs) is seldom studied. We propose a novel research direction in terms of textual data frequency, which is an understudied topic. to the best of our knowledge. Ou...