@inproceedings{kongqiang-etal-2026-wangkongqiang,
    title = "wangkongqiang at {S}em{E}val-2026 Task 1: {MWAHAHA}- Competition on Humor Generation",
    author = "Kongqiang, Wang  and
      Peng, Zhang  and
      Qingli, Tan",
    editor = "Kochmar, Ekaterina  and
      Ghosh, Debanjan  and
      North, Kai  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.12/",
    pages = "80--88",
    ISBN = "979-8-89176-414-9",
    abstract = "This paper presents our system developed for the SemEval-2026 Task 1: MWAHAHA-Competition on Humor Generation. on Subtask A: Text-based Humor Generation. Given a set of text-based constraints, generate a joke. This subtask A will be conducted in English, Spanish, and Chinese. on Subtask B: Image-Based Caption Generation. This subtask explores humor in a multimodal context, combining visual inputs with text generation. This subtask B is in English only. To this end, we mainly focus on Subtask A: Text-based Humor Generation in English and Chinese, Subtask B: Image-BasedCaption Generation in English language to use two important languages models: BLIP and Qwen series LLM. For Task B1: Image-only Humor Generation and Task B2: Image and Prompt Humor Generation. Our submission achieved the good ranking place in the test set. All subtasks evaluated using Rating (95{\%} CI) score across different languages and modality contexts. For Subtask A in English and Chinese, Rating score 950 and 1054, 95{\%} CI [ 922, 982] and [1024, 1104], ranked 16th and 1st respectively. For Subtask B in B1 and B2, Rating score 976 and 987, 95{\%} CI [ 941, 1007] and[948, 1016], ranked 5th and 3rd respectively. For the final ranking, organizers will use the Rating (95{\%} CI) score. Even so, our approach still has yielded good results."
}