Many-shot in-context learning in vision-language models can collapse accuracy as demonstrations accumulate, and the failure is causally localized to the vision-language integration pathway, where a small adapter repairs it.
In: Findings of the Association for Computational Linguistics: EMNLP 2023
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In-Context Collapse in Vision-Language Models and How to Mitigate it?
Many-shot in-context learning in vision-language models can collapse accuracy as demonstrations accumulate, and the failure is causally localized to the vision-language integration pathway, where a small adapter repairs it.