@inproceedings{wang-etal-2026-chatgpt,
    title = "Can {C}hat{GPT} Really Understand {M}odern {C}hinese Poetry?",
    author = "Wang, Shanshan  and
      Wong, Derek F.  and
      Yao, Jingming  and
      Chao, Lidia S.",
    editor = "Demberg, Vera  and
      Inui, Kentaro  and
      Marquez, Llu{\'i}s",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EACL} 2026",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.findings-eacl.216/",
    pages = "4152--4162",
    ISBN = "979-8-89176-386-9",
    abstract = "ChatGPT has demonstrated remarkable capabilities on both poetry generation and translation, yet its ability to truly understand poetry remains unexplored. Previous poetry-related work merely analyzed experimental outcomes without addressing fundamental issues of comprehension. This paper introduces a comprehensive framework for evaluating ChatGPT{'}s understanding of modern poetry. We collaborated with professional poets to evaluate ChatGPT{'}s interpretation of unpublished modern Chinese poems by different poets along multiple dimensions. Evaluation results show that ChatGPT{'}s interpretations align with the original poets' intents in over 73{\%} of the cases. However, its understanding in certain dimensions, particularly in capturing poeticity, proved to be less satisfactory. These findings highlight the effectiveness and necessity of our proposed framework. This study not only evaluates ChatGPT{'}s ability to understand modern poetry but also establishes a solid foundation for future research on LLMs and their application to poetry-related tasks."
}