@inproceedings{bui-etal-2026-findings,
    title = "Findings of the {A}mericas{NLP} 2026 Shared Task on Cultural Image Captioning for Indigenous Languages",
    author = {Bui, Minh Duc  and
      Guzm{\'a}n, David  and
      Ebrahimi, Abteen  and
      Morales, Franklin  and
      Ag{\"u}ero-Torales, Marvin  and
      Insfr{\'a}n, Raquel  and
      Gonz{\'a}lez, Cecilia  and
      Araujo, Ram{\'o}n  and
      Cernuzzi, Luca  and
      Noh Chi, Carlos Raul  and
      Tec Cahun, Carlos Eduardo  and
      Poot Cohuo, Sindi Estrella  and
      Ben{\'i}tez Chi, Daniel Ricardo  and
      Palomo Ar{\'e}valo, Santos Natanael  and
      Canul Canche, Jessica Elizabeth  and
      Poot Poot, Deysi Aracely  and
      Dzib Dzib, Wendy Marleny  and
      Ake Pool, Eduardo Jos{\'e}  and
      Couoh Martin, Reynaldo Alexander  and
      Fernandez Sabido, Silvia  and
      Santiago Melchor, Luis Samuel  and
      Silverio, Sotero  and
      Pugh, Robert  and
      V{\'a}zquez, Ra{\'u}l  and
      Ortega, John E.  and
      Oncevay, Arturo  and
      Manrique, Rub{\'e}n  and
      Chiruzzo, Luis  and
      Coto-Solano, Rolando  and
      Mager, Elisabeth  and
      Rijhwani, Shruti  and
      Adelani, David Ifeoluwa  and
      Mager, Manuel  and
      von der Wense, Katharina},
    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-6.27/",
    pages = "279--295",
    ISBN = "979-8-89176-415-6",
    abstract = "Indigenous languages of the Americas face severe endangerment, and the scarcity of culturally grounded resources remains a critical barrier to revitalization efforts. We present the AmericasNLP 2026 Shared Task on Cultural Image Captioning for Indigenous Languages, the first shared task dedicated to generating captions for images depicting Indigenous cultures of the Americas, written in the Indigenous languages themselves. To support this, we introduce and publicly release a newly constructed dataset spanning five cultures and their dominant languages: Bribri, Guaran{\'i}, Yucatec Maya, Central Veracruz Nahuatl, and Wix{\'a}rika. Evaluation follows a two-stage process, combining automatic evaluation using ChrF++ with human evaluation of the top-performing systems for each language. Eight teams participate, submitting 27 systems in total. Results indicate that the task remains largely unsolved: while the strongest systems produce understandable captions, they fall short on descriptive detail and, critically, cultural grounding."
}