Enhancing Multimodal Large Language Models for A ncient C hinese Character Evolution Analysis via Glyph-Driven Fine-Tuning
Rui Song · Lida Shi · Ruihua Qi · Yingji Li · Hao Xu
摘要
In recent years, rapid advances in Multimodal Large Language Models (MLLMs) have increasingly stimulated research on ancient Chinese scripts. As the evolution of written characters constitutes a fundamental pathway for understanding cultural transformation and historical continuity, how MLLMs can...