Offline Rubric Synthesis Plus Refinement Loops: A Practical Reward Hacking Mitigation
stochasticchasm · x · 2026-09-22
A practitioner describes a reward hacking mitigation: rubrics are synthesized offline, used for grading, then refined iteratively. The author notes the substantial grading compute involved and suggests extensions like making each step agentic or adding more refinement loops.
Related event: Combining verifiable rewards with offline rubrics for model training(3 posts)→
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