Rubric-Guided Process Reward for Stepwise Model Routing
cs.AI, cs.CL
Submitted: 2026-05-28
Updated: 2026-09-19
Comments: 17 pages, 9 figures, submitted to EMNLP 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Mathematical Problem Solving With the MATH Dataset
- Open Rubric System: Scaling Reinforcement Learning with Pairwise Adaptive Rubric
- Training Verifiers to Solve Math Word Problems
- Let's Verify Step by Step
- OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
- Let's reward step by step: Step-Level reward model as the Navigators for Reasoning
- ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth
- Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
- Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
- Step-wise Rubric Rewards for LLM Reasoning
- Qwen3 Technical Report
- GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts
- Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
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