CREDO: Variance-Guided Rubric Evolution for Replay-Corrected Credit Assignment
Credo is proposed, a framework that couples evolving semantic rubrics with selective, execution-based credit correction, and derives conditional unbiasedness and a variance decomposition that connects two design choices: which rubric features to retain, and where to allocate a fixed expected replay budget.
Xuxian Hu
· 0 citations