Distilled Reinforcement Learning for LLM Post-training
cs.LG, cs.AI
Submitted: 2026-07-19
Updated: 2026-09-29
Code: https://github.com/hiyouga/EasyR1
Terminology
Sources
- OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique
- OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
- MathArena: Evaluating LLMs on Uncontaminated Math Competitions
- Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
- Reasoning with Exploration: An Entropy Perspective
- Training Verifiers to Solve Math Word Problems
- Process Reinforcement through Implicit Rewards
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
- SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
- Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Distilling the Knowledge in a Neural Network
- Entropy-Aware On-Policy Distillation of Language Models
- Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
- TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
- Let's Verify Step by Step
- DeepSeek-V3 Technical Report
- Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR
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