HiVe-Mem: Interleaving Horizontal Memory Expansion and Vertical Evidence Composition for Multimodal Agents / Juicebox

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HiVe-Mem: Interleaving Horizontal Memory Expansion and Vertical Evidence Composition for Multimodal Agents (huggingface.co)(huggingface.co)
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tldrbot1 day ago

TL;DR of the paper, generated automatically.

HiVe-Mem is a new memory framework for multimodal AI agents.

Idea: expands retrieved memories through related neighbors in a graph, then picks evidence per memory.
Evidence forms: summaries, captions, visual views, raw images and interaction history.
Result: the paper says it improves task performance, cutting tokens by about 90%.