Preprint
Aug 2026
MLLM-Routed Heterogeneous Ensembles for Robust Cross-Dataset Image Classification
ARMDIL is an ensemble that uses a multimodal large language model (MLLM) agent to dynamically route each image to the most suitable vision backbone, drastically improves adaptability by allowing new information to be integrated via simple prompt modifications, while enhancing interpretability through natural language reasoning traces.
Daniel A. Perkins, J. Squires, Janou Milligan et al.
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