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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](https://github.com/icip-cas/PPTAgent)
**Paper**: [DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation](https://arxiv.org/abs/2602.22839)
## 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:
```bash
# 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:
```bibtex
@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},
}
``` |