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UF Gators win AmericasNLP 2026 task with novel captioning system

Researchers from the University of Florida Gators have won the AmericasNLP 2026 shared task for cultural image captioning of Indigenous languages. Their two-stage system uses Qwen2.5-VL for an intermediate Spanish caption and then Gemini 2.5 Flash with retrieval-augmented prompting for the final translation. The submission demonstrated significant performance gains, exceeding 150% improvement for certain languages, and was the overall winner of the competition. AI

IMPACT Demonstrates advanced multimodal AI capabilities for low-resource languages, potentially improving cultural preservation and accessibility.

RANK_REASON Academic paper detailing a novel approach to image captioning for Indigenous languages and winning a shared task.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

UF Gators win AmericasNLP 2026 task with novel captioning system

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets, Daisy Zhe Wang, Christan Grant ·

    Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task

    arXiv:2605.20626v1 Announce Type: cross Abstract: We present the University of Florida Gators submission to the AmericasNLP 2026 shared task on cultural image captioning for Indigenous languages. Our two-stage pipeline generates a Spanish intermediate caption with Qwen2.5-VL, the…

  2. arXiv cs.AI TIER_1 English(EN) · Christan Grant ·

    Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task

    We present the University of Florida Gators submission to the AmericasNLP 2026 shared task on cultural image captioning for Indigenous languages. Our two-stage pipeline generates a Spanish intermediate caption with Qwen2.5-VL, then produces the target-language caption using retri…