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When Irrelevant Text Matters: Affine Margin Shifts in Multimodal Large Language Models
Multimodal large language models (MLLMs) are frequently exposed to auxiliary textual context, the impact of which on visually grounded tasks remains underexplored. In this paper, we investigate the influence of task-irrelevant context by formulating it as a controlled intervention within a binary vi
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