---
pipeline_tag: text-generation
library_name: transformers
base_model: Qwen/Qwen3-8B
---

# Composition-RL-8B

This repository contains the 8B model checkpoint for **Composition-RL**, as presented in the paper [Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models](https://huggingface.co/papers/2602.12036).

Composition-RL is a data-efficient Reinforcement Learning with Verifiable Rewards (RLVR) approach that addresses the challenge of "uninformative" easy prompts by automatically composing multiple verifiable problems into a single, harder verifiable prompt. This maintains informative training signals and improves reasoning performance across various model sizes.

## Model Details
- **Developed by:** Xin Xu, Clive Bai, Kai Yang, Tianhao Chen, Yangkun Chen, Weijie Liu, Hao Chen, Yang Wang, Saiyong Yang, Can Yang.
- **Initial Model:** Qwen3-8B-Base.
- **Training Set:** [MATH-Composition-199K](https://huggingface.co/datasets/xx18/MATH-Composition-199K).
- **Paper:** [Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models](https://huggingface.co/papers/2602.12036).
- **Code:** [GitHub Repository](https://github.com/XinXU-USTC/Composition-RL).

## Citation
If you find this work helpful, please consider citing:
```bibtex
@article{xu2026composition-rl,
  title={Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models},
  author={Xu, Xin and Bai, Clive and Yang, Kai and Chen, Tianhao and Chen, Yangkun and Liu, Weijie and Chen, Hao and Wang, Yang and Yang, Saiyong and Yang, Can},
  journal={arXiv preprint arXiv:2602.12036},
  year={2026}
}
```