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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.

TypeText modelVersionmodelÉditeur@JinheCClasse

Source du modèle

Type
Text model
Taille du fichier
28,4 GB
Version
vmodel
Mis à jour
21 oct. 2026
Éditeur
@Jinhe
Téléchargements
14
Paramètres
7B
Source
Hugging Face

Description de la source

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.

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}
}

Sources

1 source
Hugging FacePrincipalVersion afc57bc3cea54b8b5c6b8e1219f638e7546c24c5
huggingface.co/Jinhe/ReflectRL-Qwen2.5-Math-7B-DAPO-ReflectRL/tree/afc57bc3cea54b8b5c6b8e1219f638e7546c24c5

Vérifié 21 oct.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 28,4 GB · SHA-256 9e5c299c2ebd…d038 · Hugging Face

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Extraits de sources

3 extraits

--- 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