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Preprint Sep 2026

Revision, Not Restart: Revisable Visual Plans for Closed-Loop World-Action Models

World-action models use predicted visual futures to condition robot actions, yet execution feedback can invalidate parts of a prediction while leaving its task structure useful. We propose Revisable Temporal Planning (RTP), which maintains the visual future as a persistent action condition and revises it after feedback...

Peng Liu, Jun-Bo Niu, Wen-Hao Zheng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MetaCtrl: Your Large Language Models Can Reason Better and More Concisely with a Metacognitive Controller

MetaCtrl is introduced, a lightweight controller that adaptively regulates a frozen reasoner without predefined token budgets or reasoner retraining, and is established as a plug-and-play controller for improving reasoning accuracy while substantially reducing inference-time generation.

Zhi-Bin Wen, Tao Han, Lei Bai et al. · 1 citation

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