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News/Source-Lifted Flow Matching for Intervenable Multimodal Imitation
arxiv
PublishedJuly 14, 2026 at 4:00 AM

Source-Lifted Flow Matching for Intervenable Multimodal Imitation

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Publisher summary· verbatim

arXiv:2607.10206v1 Announce Type: cross Abstract: Flow-matching policies are promising for imitation learning because they model complex multimodal action distributions. However, their stochasticity is largely passive: repeated sampling may yield diverse behaviors, but users cannot directly choose a

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