Auto-Rubric: Learning From Implicit Weights to Explicit Rubrics for Reward Modeling

Lipeng Xie, Sen Huang, Zhuo Zhang +9

Conventional reward modeling relies on gradient descent over neural weights, creating opaque, data-hungry "black boxes." We propose a paradigm shift from implicit to explicit rewar…