A cluster-conditioned Bayesian prompt ensemble improves the calibration and accuracy of multimodal LLM judges for text-to-image preference evaluation.
Visit-bench: A benchmark for vision- language instruction following inspired by real-world use
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Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
A cluster-conditioned Bayesian prompt ensemble improves the calibration and accuracy of multimodal LLM judges for text-to-image preference evaluation.