A Survey on Rubric-Guided Reinforcement Learning for Language Models
A Bayesian framework that defines constitutions as prior distributions over evaluation criteria and rubrics as conditional instantiations is introduced, and a taxonomy of rubric-guided RL along the prior-posterior axis is presented, covering constitutional AI, instance-specific rubrics, process-level supervision, self-...
Zifei Shan, Fang-Ning Shao
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