FORUM: Frozen Outputs Reconciled Using Model Agreement for Visual Grounding
Frozen multimodal large language models (MLLMs) now solve standard referring expression comprehension with a single prompted call, yet on adversarial benchmarks with same-category distractors and negation, even the largest models are confidently wrong, and resampling repeats the error. Models built from different data...
Taiyo Sato, Takamasa Sanda, Keisuke Maeda et al.
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