Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing
cs.AI, cs.CL, cs.LG
Submitted: 2026-04-09
Updated: 2026-10-12
Terminology
Sources
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
- The Llama 3 Herd of Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Mathematical Problem Solving With the MATH Dataset
- Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
- Solving Quantitative Reasoning Problems with Language Models
- UFT: Unifying Supervised and Reinforcement Fine-Tuning
- NGRPO: Negative-enhanced Group Relative Policy Optimization
- Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models
- gpt-oss-120b & gpt-oss-20b Model Card
- Learning Montezuma's Revenge from a Single Demonstration
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- HybridFlow: A Flexible and Efficient RLHF Framework
- Qwen3 Technical Report
- Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts
- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
- Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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