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Robust multimodal reasoning hinges on explicit evidence acquisition, with EGVOR achieving substantial gains in cognitive reliability by addressing key failure modes.
Achieve more precise instance segmentation from single-point prompts by explicitly addressing granularity ambiguity and boundary uncertainty, outperforming prior methods on challenging datasets.
