Learning Native Continuation for Action Chunking Flow Policies
arXiv:2602.12978v1 Announce Type: cross Abstract: Action chunking enables Vision Language Action (VLA) models to run in real time, but naive…
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arXiv:2602.12978v1 Announce Type: cross Abstract: Action chunking enables Vision Language Action (VLA) models to run in real time, but naive…
arXiv:2602.11638v2 Announce Type: replace-cross Abstract: Indirect editing methods for 3D Gaussian Splatting (3DGS) have recently witnessed significant advancements. These approaches…
arXiv:2602.11159v1 Announce Type: new Abstract: The increasing use of Machine Learning (ML) in sensitive domains such as healthcare, finance, and…
arXiv:2602.11073v2 Announce Type: replace-cross Abstract: Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single-pass visual…
arXiv:2602.11700v1 Announce Type: cross Abstract: Tabular prediction can benefit from in-table rows as few-shot evidence, yet existing tabular models typically…
arXiv:2602.11693v1 Announce Type: cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified…