Sequential explore-exploit algorithms for assigning tasks to capacity-constrained agents demonstrate performance gains over non-contextual baselines on tabular, image, and text tasks with both LLMs and humans.
Online decision deferral under budget constraints.arXiv preprint arXiv:2409.20489,
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Learning to Assign Prediction Tasks to Agents with Capacity Constraints
Sequential explore-exploit algorithms for assigning tasks to capacity-constrained agents demonstrate performance gains over non-contextual baselines on tabular, image, and text tasks with both LLMs and humans.