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
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 18263–18297
- Language:
- URL:
- https://preview.aclanthology.org/ingest-acl/2026.findings-acl.909/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl/2026.findings-acl.909.pdf