A survey on multimodal benchmarks: In the era of large ai models

L Li, G Chen, H Shi, J **ao, L Chen - arxiv preprint arxiv:2409.18142, 2024 - arxiv.org
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …

A Survey on MLLMs in Education: Application and Future Directions

W **ng, T Zhu, J Wang, B Liu - Future Internet, 2024 - opus.lib.uts.edu.au
This survey paper examines the applications, methodologies, and future prospects of
multimodal large language models (MLLMs) within the educational landscape. MLLMs …

Baichuan-Omni-1.5 Technical Report

Y Li, J Liu, T Zhang, S Chen, T Li, Z Li, L Liu… - arxiv preprint arxiv …, 2025 - arxiv.org
We introduce Baichuan-Omni-1.5, an omni-modal model that not only has omni-modal
understanding capabilities but also provides end-to-end audio generation capabilities. To …