Codebase for "Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning"
-
Updated
Aug 3, 2026 - Python
Codebase for "Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning"
This repository contains a machine learning model designed to generate grading rubrics based on a given question and a sample answer. The model has been fine-tuned on custom data and implemented in a Jupyter Notebook.
Service for generating structured scoring dimensions from problems, answers, and score metadata.
Add a description, image, and links to the rubric-generation topic page so that developers can more easily learn about it.
To associate your repository with the rubric-generation topic, visit your repo's landing page and select "manage topics."