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Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
March 5, 2024, 2:44 p.m. | Maksim Kuprashevich, Grigorii Alekseenko, Irina Tolstykh
cs.LG updates on arXiv.org arxiv.org
Abstract: Multimodal Large Language Models (MLLMs) have recently gained immense popularity. Powerful commercial models like ChatGPT-4V and Gemini, as well as open-source ones such as LLaVA, are essentially general-purpose models and are applied to solve a wide variety of tasks, including those in computer vision. These neural networks possess such strong general knowledge and reasoning abilities that they have proven capable of working even on tasks for which they were not specifically trained. We compared the …
abstract age arxiv beyond capabilities chatgpt commercial computer cs.ai cs.cv cs.lg gemini gender general language language models large language large language models llava mllms multimodal solve tasks type
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