RecursiveMAS/Sequential-Scaled-Solver-Qwen3.5-4B

Sequential-Scaled-Solver-Qwen3.5-4B

🌐 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-Scaled setting, the Solver Agent is responsible for producing the final response based on the planning and critique information refined through RecursiveLink modules.

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}, 
}