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Quantifying the Gaps Between Translation and Native Perception in
  Training for Multimodal, Multilingual Retrieval
v1v2 (latest)

Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
2 October 2024
Kyle Buettner
Adriana Kovashka
    VLM
ArXiv (abs)PDFHTML

Papers citing "Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval"

3 / 3 papers shown
GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation
GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation
Jiafeng Xiong
Yuting Zhao
249
0
0
24 Jul 2025
JEEM: Vision-Language Understanding in Four Arabic Dialects
JEEM: Vision-Language Understanding in Four Arabic Dialects
Karima Kadaoui
Hanin Atwany
Hamdan Al-Ali
Abdelrahman Mohamed
Ali Mekky
Sergei Tilga
Natalia Fedorova
Ekaterina Artemova
Hanan Aldarmaki
Yova Kementchedjhieva
VLM
223
8
0
27 Mar 2025
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Mohammad Mahdi Abootorabi
Amirhosein Zobeiri
Mahdi Dehghani
Mohammadali Mohammadkhani
Bardia Mohammadi
Omid Ghahroodi
M. Baghshah
Ehsaneddin Asgari
RALM
727
33
0
12 Feb 2025
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