Papers with critique-revision process

    1 papers
    Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning (2026.acl-long)

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    Challenge: Logic-RL is a framework that transforms critique-guided outline refinement into a learnable policy through reinforcement learning.
    Approach: They propose a framework that transforms critique-guided outline refinement into a learnable policy through reinforcement learning.
    Outcome: The proposed framework improves on FreshWiki and WikiOutline . it can be iteratively applied, with improved quality continuing through three refinement rounds before diminishing returns.

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