@inproceedings{dhawan-etal-2026-retrieval,
    title = "Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for {A}mericas{NLP} 2026 shared task",
    author = "Dhawan, Aashish  and
      Driggers-Ellis, Christopher  and
      Kasinets, Dzmitry  and
      Grant, Christan  and
      Wang, Zhe",
    editor = "Mager, Manuel  and
      Ebrahimi, Abteen  and
      Bui, Minh Duc  and
      Pugh, Robert  and
      Oncevay, Arturo  and
      Chiruzzo, Luis  and
      Solano, Rolando Coto  and
      Rijhwani, Shruti  and
      Von Der Wense, Katharina",
    booktitle = "Proceedings of the Sixth Workshop on {NLP} for Indigenous Languages of the {A}mericas ({A}mericas{NLP})",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.americasnlp-6.19/",
    pages = "212--223",
    ISBN = "979-8-89176-415-6",
    abstract = "This paper presents the University of Florida Gators submission to the AmericasNLP 2026 shared task on cultural image captioning for Indigenous languages. The system uses a two-stage pipeline: first generating Spanish captions from images with a vision-language model, then translating them into target languages using retrieval-augmented many-shot prompting with Gemini 2.5 Flash. The paper reports strong improvements over the shared task baseline across multiple languages, analyzes the role of retrieval, synthetic exemplars, and morphology-aware prompting, and discusses limitations related to dev-set exemplars, cascade errors, and chrF++ based evaluation."
}