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Summary of Changes

Hello @XieLipeng0830, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refines the reward modeling framework by standardizing terminology from 'principles' to 'rubrics' across all components and documentation. It also introduces a significant new 'Auto-Rubric' feature, which is a training-free system designed to automatically derive evaluation criteria from preference data. This enhancement aims to improve the clarity, efficiency, and interpretability of how model responses are assessed, providing a more robust foundation for reward model development and application.

Highlights

  • Terminology Change: The term 'principles' has been consistently replaced with 'rubrics' across the entire codebase, including core reward model definitions, documentation, and example usage. This change reflects a refined conceptual framework for evaluating model responses.
  • Introduction of Auto-Rubric Feature: A new 'Auto-Rubric' feature has been introduced, providing a training-free framework to automatically extract generalizable evaluation criteria (rubrics) from preference data. This aims to enhance the interpretability and efficiency of reward modeling.
  • Comprehensive Tooling for Rubric Management: New scripts and modules have been added for the Auto-Rubric feature, covering rubric generation, iterative refinement, Maximal Coding Rate Reduction (MCR²) for optimal subset selection, and structuring into human-readable 'Theme-Tips' format, along with performance analysis tools.
  • Documentation Updates: Extensive updates to the README.md, README_zh.md, docs/index.md, and various tutorial notebooks (.ipynb and .md files) reflect the new 'rubric' terminology and introduce the Auto-Rubric feature with detailed guides.
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Code Review

This pull request introduces a significant refactoring, replacing the term "Principle" with "Rubric" across the codebase to align with the new "Auto-Rubric" feature. The changes are extensive, touching documentation, code, and tests. Overall, the refactoring is well-executed and consistent. I've identified a few minor issues where the find-and-replace was overly broad, leading to incorrect terminology in specific contexts or a broken link in the documentation. My feedback focuses on correcting these instances to improve clarity and correctness. The addition of the Auto-Rubric feature and its associated documentation is a valuable enhancement.

@XieLipeng0830 XieLipeng0830 changed the title Autorubric gt [update] autorubric src Oct 22, 2025
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LGTM

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