---
library_name: transformers
pipeline_tag: text-generation
---

# Composition-RL-8B

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

## Model Description
Composition-RL is a data-efficient Reinforcement Learning with Verifiable Rewards (RLVR) approach designed to improve the reasoning capabilities of Large Language Models. It addresses the issue of "too-easy" prompts (pass-rate = 1) by automatically composing multiple verifiable problems into a single, harder verifiable prompt. This ensures the model continues to receive informative training signals throughout the RL process.

- **Initial Model:** Qwen3-8b-Base
- **Training Dataset:** [MATH-Composition-199K](https://huggingface.co/datasets/xx18/MATH-Composition-199K)
- **Task:** Mathematical Reasoning
- **Paper:** [arXiv:2602.12036](https://arxiv.org/abs/2602.12036)
- **Code:** [GitHub - Composition-RL](https://github.com/XinXU-USTC/Composition-RL)

## Performance
As detailed in the paper, Composition-RL-8B consistently improves reasoning capability over RL trained on original, non-compositional datasets across various benchmarks.

## 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}
}
```