EduQwen: Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
arxiv.org/abs/2604.06385
A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
#AIEd
arxiv.org/abs/2604.06385
A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
#AIEd
Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
We present an innovative multi-stage optimization strategy combining reinforcement learning (RL) and supervised fine-tuning (SFT) to enhance the pedagogical knowledge of large language models (LLMs), as illustrated by EduQwen 32B-RL1, EduQwen 32B-SFT…arXiv.org
