mlsanityData to 14 Oct 2026

Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions

arXiv 2604.17894 ↗First posted 20 Apr 2026cs.CLcited by 1

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Abstract (arXiv)

Presentation slides are a primary medium for data-driven reporting, yet keeping complex, analytics-style decks up to date remains labor-intensive. Existing automation methods mostly follow fixed template filling and cannot support dynamic updates for diverse, user-authored slide decks. We therefore define "Dynamic Slide Update via Natural Language Instructions on User-provided Templates" and introduce DynaSlide, a large-scale benchmark with 20,036 real-world instruction-execution triples (source slide, user instruction, target slide) grounded in a shared external database and built from business reporting slides under bring-your-own-template (BYO-template) conditions. To tackle this task, we propose SlideAgent, an agent-based framework that combines multimodal slide parsing, natural language instruction grounding, and tool-augmented reasoning for tables, charts, and textual conclusions. SlideAgent updates content while preserving layout and style, providing a strong reference baseline on DynaSlide. We further design end-to-end and component-level evaluation protocols that reveal key challenges and opportunities for future research. The dataset and code are available at https://github.com/XiaoZhou2024/SlideAgent.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 21 of its 32 references that are in the map. First posted on arXiv 20 Apr 2026.

Builds on

21 of 32 references.

References · 21

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  8. 2021DOC2PPT: Automatic Presentation Slides Generation from Scientific Documentscited by 70
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9 more
  1. 2021VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groupscited by 27
  2. 2024DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understandingcited by 23
  3. 2025Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentationscited by 19
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  5. 2024DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Searchcited by 17
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  1. 2026Agentic Visual Generation: From Generative Models to Agentic Controlcited by 1