A literature survey across cognitive science, sociolinguistics, and AI alignment that identifies the absence of unified frameworks for embedding cognition, culture, values, and cooperation into multi-agent LLM systems and outlines future directions.
arXiv preprint arXiv:2505.00026 , year=
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Data-centric optimization of skills for agents on a branching lakehouse improves accuracy by 31.9% on 25 tasks via state-verification evaluation.
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Toward Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values, and Cooperation in AI Agents
A literature survey across cognitive science, sociolinguistics, and AI alignment that identifies the absence of unified frameworks for embedding cognition, culture, values, and cooperation into multi-agent LLM systems and outlines future directions.
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"Skill issues'': data-centric optimization of lakehouse agents
Data-centric optimization of skills for agents on a branching lakehouse improves accuracy by 31.9% on 25 tasks via state-verification evaluation.