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Jiaqian Li

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#computer vision Preprint Sep 2026

MCD: Causal Distillation of Multimodal In-Context Learning in Large Vision-Language Models

Large vision-language models (LVLMs) exhibit strong multimodal in-context learning (ICL) capabilities, yet this ability degrades substantially as model size decreases. Knowledge distillation offers a natural way to bridge this gap, but existing methods primarily align output distributions or hidden representations dire...

Yanshu Li, Jia-Qian Li, Can-Ran Xiao et al. · 0 citations

Preprint Aug 2026

When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL

Implicit multimodal in-context learning compresses demonstrations into internal interventions, ranging from static task vectors to query-conditioned transformations and attention routing. Despite their common goal, these methods differ substantially in how the intervention depends on the query and where it modifies the...

Jiaqian Li · 0 citations