Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning

Rui Song 0008, Lida Shi, Ruihua Qi, Yingji Li, Hao Xu 0012. Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang 0001, David Jurgens, editors, Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2026, San Diego, California, United States, July 2-7, 2026. pages 22789-22804, Association for Computational Linguistics, 2026. [doi]

@inproceedings{SongSQLX26,
  title = {Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning},
  author = {Rui Song 0008 and Lida Shi and Ruihua Qi and Yingji Li and Hao Xu 0012},
  year = {2026},
  url = {https://aclanthology.org/2026.acl-long.1043/},
  researchr = {https://researchr.org/publication/SongSQLX26},
  cites = {0},
  citedby = {0},
  pages = {22789-22804},
  booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2026, San Diego, California, United States, July 2-7, 2026},
  editor = {Maria Liakata and Viviane P. Moreira and Jiajun Zhang 0001 and David Jurgens},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-390-6},
}