MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/Jiayi-Pan/TinyZero
Sources
- Qwen2.5-VL Technical Report
- Self-Evolving Curriculum for LLM Reasoning
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Mathematical Problem Solving With the MATH Dataset
- OpenAI o1 System Card
- CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
- Action-depedent Control Variates for Policy Optimization via Stein's Identity
- Understanding R1-Zero-Like Training: A Critical Perspective
- Decoupled Weight Decay Regularization
- Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
- Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Qwen3 Technical Report
- Your Group-Relative Advantage Is Biased
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
- CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
- SPEED-RL: Faster Training of Reasoning Models via Online Curriculum Learning
- Group Sequence Policy Optimization
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