CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning
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 answer measures reliability at the system level. We present CUSP…
AI Summary & Key Takeaways
- 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 answer measures reliability at the system level
- We present CUSP…
CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning
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