| | --- |
| | 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}, |
| | } |
| | ``` |
