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LaVy: Vietnamese Multimodal Large Language Model

LaVy, a state-of-the-art Vietnamese Multimodal Large Language Model (MLLM), addresses the lack of high-quality resources in multimodality and is evaluated using LaVy-Bench, a benchmark for Vietnamese visual language tasks.

Year
2024
Venue
arXiv 2024
Authors
2
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arxiv.org/abs/2404.07922v6ARXIV-DEFAULT
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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 https://github.com/baochi0212/LaVy

Authors

2