Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL
Jiaqian Li
Implicit multimodal in-context learning compresses demonstrations into internal interventions, ranging from static task vectors to query-conditioned transformations and attention r…
cs.CV2026
Personalize Your Large Vision-language Models With In-context Prompt Tuning
Yanshu Li, Jiaqian Li, Kuai Yu +4
Large vision-language models (LVLMs) have demonstrated strong general multimodal capability and are increasingly deployed in downstream systems. This trend has driven growing inter…