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This work introduces little m, an AI agent designed to assist the formulation of industrial process control models, and introduces the IPC-Bench dataset, a novel multimodal dataset of 50 canonical scenarios requiring joint reasoning over text and process diagrams.
Generating synthetic power-grid scenarios that are both operationally feasible and statistically accurate could revolutionize planning and resilience assessments in power systems.
Federated learning with LLMs for recommendation can be improved by sharing directional update components and learning personalized integration weights, outperforming naive aggregation.
