M-MiniGPT4: Multilingual VLLM Alignment via Translated Data
This paper presents a Multilingual Vision Large Language Model, named M-MiniGPT4. Our model exhibits strong vision-language understanding (VLU) capabilities across 11 languages. We utilize a mixture of native multilingual and translated data to push the multilingual VLU performance of the MiniGPT4 architecture. In addition, we propose a multilingual alignment training stage that uses parallel text corpora to further enhance the multilingual capabilities of our model. M-MiniGPT4 achieves 36% accu
Record details
Published: 31 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (31 March 2026), “M-MiniGPT4: Multilingual VLLM Alignment via Translated Data,” evidence record 6556, https://ethics.ai/record/6556 (originally published by arXiv).
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