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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.

ArtText modelVersionmodelVerleger@JinheCBewertung

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.

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

Verifiziert 21. Okt.

Modellartefakte

1 Artefakt

model.safetensors

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

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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