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Learning to Learn from Multimodal Experience

arXiv cs.AI · 2026-05-19 Cached

This paper introduces AutoMMemo, a framework that enables multimodal agents to automatically design memory mechanisms (expressible as executable memo programs) for learning from multimodal interaction trajectories, outperforming no-memory and fixed-memory baselines on GUI/Web navigation and visual reasoning benchmarks.

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