Rubrics are becoming the standard way to train/evaluate LLMs on open-ended tasks.
But rubric-RL has a bottleneck: every rollout needs to be graded by an LLM verifier. That’s expensive, slow, and is prone to reward hacking.
At the same time, the field is moving toward on-policy
