Proteus uses a multi-level design space and LLM multi-agents to automatically convert desktop visualizations into equivalent mobile versions that preserve readability.
Jennings, Katia P
3 Pith papers cite this work. Polarity classification is still indexing.
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Active inference offers a variational way to phenotype agency in AI systems by measuring empowerment in generative models via a T-maze paradigm.
A hybrid agentic AI and multi-agent framework is proposed for prescriptive maintenance in smart manufacturing, using an LLM planner for workflow orchestration and specialized agents for schema discovery, feature analysis, model selection, and optimization, with initial validation on two industrial 1
citing papers explorer
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Proteus: Shapeshifting Desktop Visualizations for Mobile via Multi-level Intelligent Adaptation
Proteus uses a multi-level design space and LLM multi-agents to automatically convert desktop visualizations into equivalent mobile versions that preserve readability.
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Active Inference: A method for Phenotyping Agency in AI systems?
Active inference offers a variational way to phenotype agency in AI systems by measuring empowerment in generative models via a T-maze paradigm.
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Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
A hybrid agentic AI and multi-agent framework is proposed for prescriptive maintenance in smart manufacturing, using an LLM planner for workflow orchestration and specialized agents for schema discovery, feature analysis, model selection, and optimization, with initial validation on two industrial 1