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Multimodal LLM agents can learn to rapidly unlock new objects in Minecraft by decomposing and transferring knowledge across experiences, achieving up to 1.7x speed-up.
Topological data analysis reveals that structurally stable and compact soft prompts lead to better downstream performance, enabling a new loss function (TSLoss) that improves convergence and tuning performance.
