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UF Gators win AmericasNLP 2026 task with novel captioning system

By PulseAugur Editorial · [2 sources] ·

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

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

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