base_model:
- Qwen/Qwen3.5-9B
datasets:
- Forceless/UltraPresent
license: mit
library_name: transformers
pipeline_tag: text-generation
DeepPresenter-9B
Project: https://github.com/icip-cas/PPTAgent
Paper: DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation
Model Overview
DeepPresenter-9B is a 9B-parameter language model designed for automatic presentation generation. It serves as the core model in the DeepPresenter framework, enabling agentic workflows that generate structured slide presentations from natural language instructions.
Unlike traditional agents that rely on fixed templates, DeepPresenter uses environment-grounded reflection. This allows the system to condition its generation process on perceptual artifact states (like rendered slides), enabling it to autonomously plan, render, and revise slides to correct presentation-specific issues during execution.
Usage
DeepPresenter-9B is intended to be used with the PPTAgent framework for full presentation generation. You can use it via the CLI:
# Interactive configuration (first time)
uvx pptagent onboard
# Generate presentation
uvx pptagent generate "Single Page with Title: Hello World" -o hello.pptx
Performance
Citation
If you find this work useful, please cite the paper:
@misc{zheng2026deeppresenterenvironmentgroundedreflectionagentic,
title={DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation},
author={Hao Zheng and Guozhao Mo and Xinru Yan and Qianhao Yuan and Wenkai Zhang and Xuanang Chen and Yaojie Lu and Hongyu Lin and Xianpei Han and Le Sun},
year={2026},
eprint={2602.22839},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2602.22839},
}