Linear probing reveals a gap between internal representations and responses in LVLMs for visual document understanding, with task information encoded more linearly in intermediate layers than the final layer, and fine-tuning those layers narrows the gap.
Rethinking llm-as-a- judge: Representation-as-a-judge with small language mod- els via semantic capacity asymmetry
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Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding
Linear probing reveals a gap between internal representations and responses in LVLMs for visual document understanding, with task information encoded more linearly in intermediate layers than the final layer, and fine-tuning those layers narrows the gap.