April 16, 2024, 4:44 a.m. | Chenwei Lin, Hanjia Lyu, Jiebo Luo, Xian Xu

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.09690v1 Announce Type: cross
Abstract: The emergence of Large Multimodal Models (LMMs) marks a significant milestone in the development of artificial intelligence. Insurance, as a vast and complex discipline, involves a wide variety of data forms in its operational processes, including text, images, and videos, thereby giving rise to diverse multimodal tasks. Despite this, there has been limited systematic exploration of multimodal tasks specific to insurance, nor a thorough investigation into how LMMs can address these challenges. In this paper, …

abstract artificial artificial intelligence arxiv cs.ai cs.cl cs.cv cs.lg data development diverse emergence exploration forms giving gpt gpt-4v images insurance intelligence large multimodal models lmms marks multimodal multimodal models processes tasks text type vast videos

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