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@hjh0119 hjh0119 commented Sep 8, 2025

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Summary of Changes

Hello @hjh0119, 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 focuses on enhancing the clarity and conciseness of the CHORD algorithm documentation. The changes primarily involve simplifying existing explanations and refining descriptions of key components, ensuring that the information is more accessible and to the point for readers.

Highlights

  • Documentation Simplification: The introductory description of the CHORD algorithm has been simplified in both Chinese and English documentation, removing specific mentions of 'on-policy' and 'off-policy' contexts and specific algorithms like GRPO/PPO, to make the explanation more concise.
  • CHORD-φ Explanation Refinement: The explanation for CHORD-φ (Token-level weighting) has been refined in both language versions, removing details about μ scheduling and fixed μ values, and focusing solely on its core function of dynamically controlling expert token gradient contribution.
  • Paper Link Formatting: In the English documentation, the reference to the CHORD paper has been updated from plain text to a direct Markdown link, improving readability and navigation.
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Code Review

This pull request updates the documentation for the CHORD algorithm in both Chinese and English. While the changes aim for simplification, they remove important details about the algorithm's mechanics, such as the distinction between on-policy and off-policy learning and key characteristics of the CHORD-φ variant. My review suggests restoring this information to ensure the documentation remains accurate and clear for users.

@hjh0119 hjh0119 merged commit cc0a9dd into modelscope:main Sep 8, 2025
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@hjh0119 hjh0119 deleted the fix-chord-doc branch September 8, 2025 02:29
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