Google to open Gemini chatbot to all Hong Kong users amid city’s AI push - South China Morning Post
<a href="https://news.google.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?oc=5" target="_blank">Google to open Gemini chatbot to all Hong Kong users amid city’s AI push</a> <font color="#6f6f6f">South China Morning Post</font>
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Scaling the Long Video Understanding of Multimodal Large Language Models via Visual Memory Mechanism
arXiv:2603.29252v1 Announce Type: new Abstract: Long video understanding is a key challenge that plagues the advancement of \emph{Multimodal Large language Models} (MLLMs). In this paper, we study this problem from the perspective of visual memory mechanism, and proposed a novel and training-free approach, termed \emph{Flexible Memory} (\textbf{FlexMem}). In principle, FlexMem aims to mimic human behavior of video watching, \emph{i.e.}, continually watching video content and recalling the most relevant memory fragments to answer the question. In this way, FlexMem can help MLLMs achieve video understanding of infinite lengths, unlike previous methods that process all video information at once and have input upper-limit. Concretely, FlexMem first consider the visual KV caches as the memory s
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