← all papers · overview

Instruct, Not Assist: Llm-based Multi-turn Planning And Hierarchical Questioning For Socratic Code Debugging

Abstract

Socratic questioning is an effective teaching strategy, encouraging critical thinking and problem-solving. The conversational capabilities of large language models (LLMs) show great potential for providing scalable, real-time student guidance. However, current LLMs often give away solutions directly, making them ineffective instructors. We tackle this issue in the code debugging domain with TreeIn

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).