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ReDeck framework refines slide generation with step-level feedback

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ReDeck, a novel framework designed to improve the generation of slides from documents. Unlike previous methods that offer feedback only after a full rewrite, ReDeck breaks down the revision process into atomic edit actions, providing immediate, renderer-derived observations after each step. This step-level feedback, combined with turn-level adaptive criticism and submission-level validation, helps address local errors like overflow and overlap more effectively. The framework was tested with leading models such as GPT-5.4, Claude-4.6, and Gemini-3.1, demonstrating superior performance in generating accurate and well-formatted slides. AI

IMPACT This framework could enhance the efficiency and accuracy of AI-driven presentation creation tools.

RANK_REASON The cluster contains a research paper detailing a new framework for document-to-slide generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ReDeck framework refines slide generation with step-level feedback

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The cluster contains a research paper detailing a new framework for document-to-slide generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Muzhao Tian, Zezi Zeng, Yifan Yang, Xin Gao, Yan Li, Zisu Huang, Xiaohua Wang, Changze Lv, Mingxi Cheng, Bei Liu, Kai Qiu, Qi Dai, Dong Chen, Yue Dong, Xiaoqing Zheng, Ji Li, Chong Luo ·

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

    arXiv:2609.00194v1 Announce Type: new 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 …

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