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SLIDEFORGE: An LLM Agent for Controllable Editing of Slides as Structured Artifacts

arXiv · AI, language, vision and robotics · article · Sep 2, 2026 · UTC

Current AI agents compellingly describe slides. However, AI-assisted slide editing requires more than understanding: the output must retain layout, style, component structure, and native editability. Towards, AI-assisted slide editing, existing agents operate on screenshots or weak document representations and often fragment coherent visual units, rasterize editable content, or break layout. In contrast, for controllable slide editing, we introduce an agentic framework, SLIDEFORGE, which builds a Deck State Graph, an executable slide state that links visual decomposition, native pptx object st

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Evidence & attribution

First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.