xx18/Composition-RL-4B-Depth1_2_3

Composition-RL-8B

This repository contains the 8B model checkpoint for Composition-RL, introduced in the paper Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models.

Overview

Composition-RL is a data-efficient Reinforcement Learning with Verifiable Rewards (RLVR) approach. It addresses the challenge of "too-easy" prompts (where the pass rate reaches 1) by automatically composing multiple verifiable problems into a single, harder yet still-verifiable prompt. This ensures that RL training continues to receive informative signals as the model's reasoning capabilities improve.

Model Details

• —Base Model: Qwen3-8B-Base
• —Training Dataset: MATH-Composition-199K
• —Framework: Composition-RL
• —Paper: Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
• —Code: GitHub - XinXU-USTC/Composition-RL

Citation

If you find this work helpful for your research, please consider citing:

@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}
}