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

• URL: http://arxiv.org/abs/2609.00194v2
• Date: Sat, 05 Sep 2026 21:02:51 GMT
• Title: ReDeck: Step-Level Render-Grounded Refinement for Document-to-Slide Generation
• Abstract summary: We propose ReDeck, a step-level render-grounded refinement framework for document-to-slide generation.<n>To balance local repair with global quality, ReDeck uses multi-granular feedback for spatial errors, a turn-level adaptive critic for semantic and design guidance, and a submission-level gate for hard layout validation.<n>Across GPT-5.4, Claude-4.6, and Gemini-3.1, ReDeck consistently outperforms existing slide-generation agents.
• Score: 50.508786206669605
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 revision into atomic edit actions and returns renderer-derived observations after each step, turning refinement into "one edit, one observation." To balance local repair with global quality, ReDeck uses multi-granular feedback: step-level render feedback for spatial errors, a turn-level adaptive critic for semantic and design guidance, and a submission-level gate for hard layout validation. We further introduce DeckQuiz, a benchmark that decouples content fidelity, spatial correctness, and design quality. Across GPT-5.4, Claude-4.6, and Gemini-3.1, ReDeck consistently outperforms existing slide-generation agents, and ablations confirm that feedback timing and granularity are critical for reliable slide refinement.

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