ZhangYiqun018/Multimodel-Dialog
自己阅读的多模态对话系统论文（及部分笔记）汇总
This is a curated collection of research papers and notes focused on building advanced conversational AI systems that can understand and respond using multiple types of information, such as text and images. It helps AI researchers and practitioners identify key datasets, foundational models, and generation techniques for creating more human-like, interactive AI. The resource provides summaries and links to relevant research for building multimodal dialogue systems.
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Use this if you are researching or developing AI conversational agents that need to process and generate responses incorporating both visual and textual information.
Not ideal if you are looking for ready-to-use software or code implementations for a specific business problem, rather than a research literature review.
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Jan 05, 2023
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