A comprehensive review of multimodal large language models: Performance and challenges across different tasks

J Wang, H Jiang, Y Liu, C Ma, X Zhang, Y Pan… - ar** by integrating large language model and cartographic tools
Y Zhang, Z He, J Li, J Lin, Q Guan… - Cartography and …, 2024 - Taylor & Francis
The map** process generally involves intricate operations, such as symbol design, layout
design, and text annotation, demanding a high level of professional expertise. The high …

Pharmacygpt: The ai pharmacist

Z Liu, Z Wu, M Hu, B Zhao, L Zhao, T Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of
large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical …

Doraemongpt: Toward understanding dynamic scenes with large language models

Z Yang, G Chen, X Li, W Wang, Y Yang - arxiv preprint arxiv:2401.08392, 2024 - arxiv.org
The field of AI agents is advancing at an unprecedented rate due to the capabilities of large
language models (LLMs). However, LLM-driven visual agents mainly focus on solving tasks …