初始化项目，由ModelHub XC社区提供模型

Model: Jinhe/ReflectRL-Qwen2.5-3B-Instruct-GRPO-ReflectRL
Source: Original Platform

README.md

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+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning
+
+This repository contains the model checkpoint for [ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning](https://huggingface.co/papers/2608.03972).
+
+ReflectRL is a lightweight framework for learning from Golden Negative Trajectories (GNTs) during on-policy post-training. Instead of imitating failed expert trajectories directly, ReflectRL uses them as reflective context during training and gradually transitions the policy back to direct reasoning for inference.
+
+- **Paper:** [ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning](https://huggingface.co/papers/2608.03972)
+- **Repository:** [GitHub - ReflectRL](https://github.com/bibisbar/ReflectRL)
+
+## Citation
+
+```bibtex
+@article{reflectrl2027,
+  title={ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning},
+  author={Bi, Jinhe and Zhou, Chennan and Jin, Zengjie and Aniri and Lu, Shuo and Huang, Wenke and Cao, Hu and Xiao, Xun and Zhu, Zhihong and Tresp, Volker and Shen, Fei and Ma, Yunpu and Chua, Tat-Seng},
+  year={2027}
+}
+```