ReflectRL Qwen2.5 Math 7B DAPO ReflectRL
This repository contains the model checkpoint for ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning.
Modellquelle
- Art
- Text model
- Dateigröße
- 28,4 GB
- Version
- vmodel
- Aktualisiert
- 21. Okt. 2026
- Verleger
- @Jinhe
- Downloads
- 14
- Parameter
- 7B
- Quelle
- Hugging Face
Quellenbeschreibung
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.
- GitHub Repository: https://github.com/bibisbar/ReflectRL
Overview
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.
Citation
@article{reflectrl2027,
title={ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning},
author={Jinhe Bi and Chennan Zhou and Zengjie Jin and Aniri and Shuo Lu and Wenke Huang and Hu Cao and Xun Xiao and Zhihong Zhu and Volker Tresp and Fei Shen and Yunpu Ma and Tat-Seng Chua},
year={2026}
}
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 21. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- 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). - **GitHub Repository:** [https://github.com/bibisbar/ReflectRL](https://github.com/bibisbar/ReflectRL) ## Overview 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. ## Citation ```bibtex @article{reflectrl2027, title={ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning}, author={Jinhe Bi and Chennan Zhou and Zengjie Jin and Aniri and Shuo Lu and Wenke Huang and Hu Cao and Xun Xiao and Zhihong Zhu and Volker Tresp and Fei Shen and Yunpu Ma and Tat-Seng Chua}, year={2026} } ```
Source context: 14 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo Jinhe/ReflectRL-Qwen2.5-Math-7B-DAPO-ReflectRL
Source context: 34 downloads · 0 likes · Repo Jinhe/ReflectRL-Qwen2.5-Math-7B-DAPO-ReflectRL
