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arXiv Paper Proposes Hierarchical Compositionality for Assistive AI Agents
A revised arXiv preprint outlines an approach that applies hierarchical compositionality to AI agents built on large language models and other deep networks. The author argues such structure is needed for agents that assist people, since current stochastic prediction methods have limits. The paper is a replacement submission, so it reflects an updated version of earlier work.