Learning Process Rewards via Reasoning State Propagation
cs.AI, cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Sources
- VeriGate: Verifier-Gated Step-Level Supervision for GRPO
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- OpenAI o1 System Card
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- Understanding R1-Zero-Like Training: A Critical Perspective
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- Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Kimi k1.5: Scaling Reinforcement Learning with LLMs
- Solving math word problems with process- and outcome-based feedback
- MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
- Qwen3 Technical Report
- TreeRPO: Tree Relative Policy Optimization
- ProcessBench: Identifying Process Errors in Mathematical Reasoning
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