April 2, 2024, 7:44 p.m. | Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, Enhong Chen

cs.LG updates on arXiv.org arxiv.org

arXiv:2306.13549v2 Announce Type: replace-cross
Abstract: Recently, Multimodal Large Language Model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful Large Language Models (LLMs) as a brain to perform multimodal tasks. The surprising emergent capabilities of MLLM, such as writing stories based on images and OCR-free math reasoning, are rare in traditional multimodal methods, suggesting a potential path to artificial general intelligence. To this end, both academia and industry have endeavored to develop MLLMs that can …

arxiv cs.ai cs.cl cs.cv cs.lg language language models large language large language models multimodal survey type

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