• Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    AI
    Reaction

    MiniMax's CISPO variant of GRPO and rare tokens signaling self-correction

    A user says CISPO matters for rare tokens that signal a model is beginning to correct its chain of thought.

    Andrew Carr 🤸AC
    1 Source, 35m ago, first seen 35m ago

    TLDR

    After rereading a MiniMax paper, a user shared an explainer about its CISPO variant of GRPO. They said the variant matters for rare tokens that signal a model is beginning to correct its chain of thought, and described it as simple but “not terribly novel.”

    Combined views

    282

    1 Source, first seen 35m ago

    2 likes1 comments2 saves

    Combined views

    282

    1 Source, first seen 35m ago

    2 likes1 comments2 saves
    Image: @andrew_n_carr on X

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Featured Source

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    Andrew Carr 🤸@andrew_n_carrI was just rereading the minimax paper this morning and was struck by how simple and cool their CISPO variant of GRPO is. Not terribly novel, but I finally figured out why it matters - for those rare tokens that signal a model is beginning to correct it's chain of thought. Here's a little explainer I made (mostly for myself, but also to share). Hope you like it and find it helpful for understanding1h
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI

    1 Source

    Andrew Carr 🤸@andrew_n_carrI was just rereading the minimax paper this morning and was struck by how simple and cool their CISPO variant of GRPO is. Not terribly novel, but I finally figured out why it matters - for those rare tokens that signal a model is beginning to correct it's chain of thought. Here's a little explainer I made (mostly for myself, but also to share). Hope you like it and find it helpful for understanding1h
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet