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Autores principales: Tran, Chi, Thanh, Huong Le
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2404.07922
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author Tran, Chi
Thanh, Huong Le
author_facet Tran, Chi
Thanh, Huong Le
contents Large Language Models (LLMs) and Multimodal Large language models (MLLMs) have taken the world by storm with impressive abilities in complex reasoning and linguistic comprehension. Meanwhile there are plethora of works related to Vietnamese Large Language Models, the lack of high-quality resources in multimodality limits the progress of Vietnamese MLLMs. In this paper, we pioneer in address this by introducing LaVy, a state-of-the-art Vietnamese MLLM, and we also introduce LaVy-Bench benchmark designated for evaluating MLLMs's understanding on Vietnamese visual language tasks. Our project is public at https://github.com/baochi0212/LaVy
format Preprint
id arxiv_https___arxiv_org_abs_2404_07922
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LaVy: Vietnamese Multimodal Large Language Model
Tran, Chi
Thanh, Huong Le
Computation and Language
Computer Vision and Pattern Recognition
Machine Learning
Large Language Models (LLMs) and Multimodal Large language models (MLLMs) have taken the world by storm with impressive abilities in complex reasoning and linguistic comprehension. Meanwhile there are plethora of works related to Vietnamese Large Language Models, the lack of high-quality resources in multimodality limits the progress of Vietnamese MLLMs. In this paper, we pioneer in address this by introducing LaVy, a state-of-the-art Vietnamese MLLM, and we also introduce LaVy-Bench benchmark designated for evaluating MLLMs's understanding on Vietnamese visual language tasks. Our project is public at https://github.com/baochi0212/LaVy
title LaVy: Vietnamese Multimodal Large Language Model
topic Computation and Language
Computer Vision and Pattern Recognition
Machine Learning
url https://arxiv.org/abs/2404.07922