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Computer Science > Computation and Language

Title: LaVy: Vietnamese Multimodal Large Language Model

Abstract: 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 this https URL
Comments: 5 pages
Subjects: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2404.07922 [cs.CL]
  (or arXiv:2404.07922v4 [cs.CL] for this version)

Submission history

From: Tran Chi [view email]
[v1] Thu, 11 Apr 2024 17:09:28 GMT (11019kb,D)
[v2] Sat, 13 Apr 2024 13:57:51 GMT (11019kb,D)
[v3] Tue, 16 Apr 2024 15:33:45 GMT (11193kb,D)
[v4] Wed, 17 Apr 2024 03:23:33 GMT (11193kb,D)

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