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

Kun Zhou, Jiakai He, Wenmian Yang, Zhensheng Wang, Yiquan Zhang, Weijia Jia


Abstract
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://anonymous.4open.science/r/604E/.
Anthology ID:
2026.findings-acl.909
Volume:
Findings of the Association for Computational Linguistics: ACL 2026
Month:
July
Year:
2026
Address:
San Diego, California, United States
Editors:
Maria Liakata, Viviane P. Moreira, Jiajun Zhang, David Jurgens
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Findings
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Publisher:
Association for Computational Linguistics
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Pages:
18263–18297
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https://preview.aclanthology.org/ingest-acl/2026.findings-acl.909/
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Cite (ACL):
Kun Zhou, Jiakai He, Wenmian Yang, Zhensheng Wang, Yiquan Zhang, and Weijia Jia. 2026. Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions. In Findings of the Association for Computational Linguistics: ACL 2026, pages 18263–18297, San Diego, California, United States. Association for Computational Linguistics.
Cite (Informal):
Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions (Zhou et al., Findings 2026)
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