PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
cs.LG, cs.CL
Submitted: 2026-05-28
Updated: 2026-09-01
Code: https://github.com/JingMog/PEARL
Terminology
Sources
- Qwen3-VL Technical Report
- MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
- Training Verifiers to Solve Math Word Problems
- Measuring Massive Multitask Language Understanding
- Measuring Mathematical Problem Solving With the MATH Dataset
- Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
- Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction
- ToRL: Scaling Tool-Integrated RL
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Decoupled Weight Decay Regularization
- Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning
- ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
- LLM-based Cognitive Models of Students with Misconceptions
- Kimi K2.5: Visual Agentic Intelligence
- Qwen3 Technical Report
- Kimi K2: Open Agentic Intelligence
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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