You can deploy this model and start earning money today!

RecursiveMAS/
Distillation-Learner-Qwen3.5-4B

Name: Distillation-Learner-Qwen3.5-4B
Rating: 2.5 (154 reviews)

Views

No views yet

Distillation-Learner-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 Distillation-Style setting, the Learner Agent receives guidance from the Expert Agent and performs task solving through recursive latent-space collaboration.

Model Details

Item	Description
Model	Distillation-Learner-Qwen3.5-4B
Collaboration Style	Distillation-Style
Agent Role	Learner 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

bibtex

@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}, 
}

RecursiveMAS/Distillation-Learner-Qwen3.5-4B