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This work introduces PanoCaps, a human-annotated benchmark constructed from panoptic segmentation datasets, and introduces PANORAMA, a VLM that conditions a pretrained segmenter on contextualized phrase representations to obtain candidate masks and learns to select those corresponding to each phrase.