CUSP: Decomposable Collective Uncertainty for multi-agent multimodal reasoning
Read the original at arxiv.org→arXiv:2609.05708v1 Announce Type: new Abstract: Aggregating heterogeneous vision-language models (VLMs) can improve multimodal reasoning, but neither an individual model's confidence nor that of the aggregated...
Original headline: "CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning"
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- Sep 9, 04:00 UTC arXiv cs.AI lead source CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning