An edge-deployed multimodal LLM pipeline for online episodic memory QA reaches 51.76% accuracy on an 8 GB GPU and 54.40% on a local server, within 4-5 points of a 56% cloud baseline.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the Edge
An edge-deployed multimodal LLM pipeline for online episodic memory QA reaches 51.76% accuracy on an 8 GB GPU and 54.40% on a local server, within 4-5 points of a 56% cloud baseline.