Stella-Sequential-Light-Planner-Qwen3-1.7B

Sequential-Light-Planner-Qwen3-1.7B

🌐 Project Page | 💻 Code | 📄 Paper

We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the Sequential-Light setting, the Planner Agent is responsible for producing the initial reasoning plan, which is then passed to subsequent agents through lightweight RecursiveLink modules for further refinement and solution generation.

Model Details

⚠️ Note: This checkpoint is a role-specific agent in RecursiveMAS, rather than a standalone model intended for plain text generation. For detailed usage instructions, please refer to our GitHub repository.

Model Collections for RecursiveMAS

Experiment Results

<p align="center"> <img src="https://raw.githubusercontent.com/RecursiveMAS/RecursiveMAS/main/assets/hero_fig.png" width="95%" alt="RecursiveMAS Experiment Results"> </p>

Citation

@misc{recursivemas,
      title={Recursive Multi-Agent Systems}, 
      author={Xiyuan Yang and Jiaru Zou and Rui Pan and Ruizhong Qiu and Pan Lu and Shizhe Diao and Jindong Jiang and Hanghang Tong and Tong Zhang and Markus J. Buehler and Jingrui He and James Zou},
      year={2026},
      eprint={2604.25917},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2604.25917}, 
}