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[HTML][HTML] Large language models for robotics: Opportunities, challenges, and perspectives
Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …
increasingly integrated across various domains. Notably, in the realm of robot task planning …
Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology–a recent sco** review
Background The integration of large language models (LLMs) like ChatGPT in diagnostic
medicine, with a focus on digital pathology, has garnered significant attention. However …
medicine, with a focus on digital pathology, has garnered significant attention. However …
Vision-language models for medical report generation and visual question answering: A review
Medical vision-language models (VLMs) combine computer vision (CV) and natural
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …
AMAM: an attention-based multimodal alignment model for medical visual question answering
H Pan, S He, K Zhang, B Qu, C Chen, K Shi - Knowledge-Based Systems, 2022 - Elsevier
Abstract Medical Visual Question Answering (VQA) is a multimodal task to answer clinical
questions about medical images. Existing methods have achieved good performance, but …
questions about medical images. Existing methods have achieved good performance, but …