|
|
--- |
|
|
license: mit |
|
|
language: |
|
|
- en |
|
|
- zh |
|
|
base_model: |
|
|
- Qwen/Qwen2.5-7B-Instruct |
|
|
tags: |
|
|
- biology |
|
|
- finance |
|
|
- text-generation-inference |
|
|
--- |
|
|
|
|
|
## Model Information |
|
|
|
|
|
We release agent model used in **HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches**. |
|
|
|
|
|
<p align="left"> |
|
|
Useful links: 📝 <a href="https://arxiv.org/abs/2508.08088" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/papers/2508.08088" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/plageon/HierSearch" target="_blank">Github</a> |
|
|
</p> |
|
|
|
|
|
1. We explore the deep search framework in multi-knowledge-source scenarios and propose a hierarchical agentic paradigm and train with HRL; |
|
|
2. We notice drawbacks of the naive information transmission among deep search agents and developed a knowledge refiner suitable for multi-knowledge-source scenarios; |
|
|
3. Our proposed approach for reliable and effective deep search across multiple knowledge sources outperforms existing baselines the flat-RL solution in various domains. |
|
|
|
|
|
|
|
|
🌹 If you use this model, please ✨star our **[GitHub repository](https://github.com/plageon/HierSearch)** or upvote our **[paper](https://huggingface.co/papers/2508.08088)** to support us. Your star means a lot! |
|
|
|
|
|
|
|
|
|
|
|
|
