AI RESEARCH
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
arXiv CS.AI
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ArXi:2605.24799v1 Announce Type: cross Multimodal Large Language Models (MLLMs) have nstrated strong capabilities across a wide range of vision language tasks. However, when applied to large scale image classification, their performance degrades significantly as the label space expands a phenomenon we define as Performance Collapse in Long Sequence Recognition.