Sherpa: Teaching LLMs to Teach Adaptively
cs.AI, cs.CL
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/SALT-NLP/Sherpa
Sources
- PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
- The Llama 3 Herd of Models
- Qwen2.5-Coder Technical Report
- Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
- LearnLM: Improving Gemini for Learning
- Ministral 3
- GEM: A Gym for Agentic LLMs
- Eight Methods to Evaluate Robust Unlearning in LLMs
- Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure
- Simulated Students in Tutoring Dialogues: Substance or Illusion?
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models
- Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning
- TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models
- Gemma 3 Technical Report
- Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
- Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
- Qwen3 Technical Report
- StudentSim: Training LLM-based Student Simulators
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