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Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
RRD refines rubrics via recursive decomposition and filtering to improve LLM judge accuracy and reinforcement training rewards on open-ended tasks.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5