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

Item	Description
Model	Sequential-Scaled-Solver-Qwen3.5-4B
Collaboration Style	Sequential-Scaled
Agent Role	Solver Agent
Base Model	Qwen3.5-4B

⚠️ 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

Style	Model Collection
Sequential-Style	🤗 HuggingFace
Mixture-Style	🤗 HuggingFace
Distillation-Style	🤗 HuggingFace
Deliberation-Style	🤗 HuggingFace

Experiment Results

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}, 
}