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The Code Council: Orchestrating Heterogeneous Large Language Models for Robust Programming Scaffolding

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By Yutaka Watanobe, Daniel M. Muepu, Shahajada Mia
| preprints.org
You are already at the latest version Recent advances in large language models (LLMs) have made it feasible to use them as automated debugging tutors, but it remains unclear how much can be gained by moving from single-model tutors to multi-agent councils with separated roles. We study this question in an offline simulation on 200 debugging cases drawn from an online judge, spanning 20 problems split into course-style and contest-style challenge tracks.
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