SOURCE-LINKED INTELLIGENCE

ReDeck: Step-Level Render-Grounded Refinement for Document-to-Slide Generation

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

Document-to-slide generation is challenging because slides are dense editable artifacts that require both faithful content selection and precise spatial layout. Recent slide agents adopt iterative reflection, but typically follow a monolithic "one version, one feedback" loop: a slide or deck is rewritten, rendered afterward, and critiqued only at the turn boundary. This delayed feedback makes local failures such as overflow, overlap, clipping, and off-canvas placement difficult to attribute and repair. We propose ReDeck, a step-level render-grounded refinement framework that decomposes slide r

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-31T18:12:10.000Z

First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.