ActICL: Post-Training for Agentic Multimodal In-Context Learning
arXiv:2610.19475v1 Announce Type: new Abstract: Multimodal in-context learning (ICL) is an important capability of multimodal large language models (MLLMs). Its performance is closely tied to the demonstrations it uses, making demonstration retrieval a core problem for ICL. Common methods use fixed…
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- 2026-10-15 04:00 · arXiv cs.CV
ActICL: Post-Training for Agentic Multimodal In-Context Learning