基于用户定义动态模板和自然语言指令的自动幻灯片更新
Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions
AI总结：
本文提出DynaSlide基准，结合多模态解析和自然语言指令，实现幻灯片动态更新，保留布局与样式，并设计评估协议揭示未来研究挑战。
摘要：
演示幻灯片是数据驱动报告的主要媒介，但保持复杂分析式幻灯片更新仍耗时。现有自动化方法多采用固定模板填充，无法支持动态更新。本文定义
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
