AI RESEARCH
Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the Edge
arXiv CS.CV
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ArXi:2602.22455v2 Announce Type: replace We investigate the feasibility of using Multimodal Large Language Models (MLLMs) for real-time online episodic memory question answering. While cloud offloading is common, it raises privacy and latency concerns for wearable assistants, hence we investigate implementation on the edge.