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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

Large reasoning models improve performance on challenging problems by allocating additional computation before answering, but longer reasoning does not always lead to better results and can introduce substantial redundant reasoning on simple problems. Conversely, aggressively shortening reasoning can degrade performanc...

Zhi-Bin Wen, Tao Han, Lei Bai et al. · 0 citations

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