---
library_name: transformers
license: apache-2.0
pipeline_tag: video-text-to-text
---

This repository contains the GRPO-CARE model, presented in the paper [GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning](https://huggingface.co/papers/2506.16141). GRPO-CARE is a novel consistency-aware RL framework that jointly optimizes for both answer correctness and reasoning coherence, without requiring explicit process supervision.  It introduces a two-tiered reward system to address limitations of standard outcome-supervised GRPO, improving both accuracy and logical consistency in multimodal reasoning.

Code released at [GRPO-CARE](https://github.com/TencentARC/GRPO-CARE).

## Citation
```bibtex
@misc{chen2025grpocareconsistencyawarereinforcementlearning,
  title={GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning}, 
  author={Yi Chen and Yuying Ge and Rui Wang and Yixiao Ge and Junhao Cheng and Ying Shan and Xihui Liu},
  year={2025},
  eprint={2506.16141},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2506.16141}, 
}
```