{"ID":2845125,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.03958","arxiv_id":"2511.03958","title":"Multi-Agent Collaborative Framework For Math Problem Generation","abstract":"Automatic question generation (AQG) for mathematics education remains an elusive goal for Intelligent Tutoring Systems and educators. While pre-trained transformer-based language models have significantly advanced natural language generation, they often struggle to precisely control problem complexity and cognitive demands. In this paper, we introduce a collaborative multi-agent framework as a novel method of incorporating inference-time computation into AQG. This approach leverages multiple agents that iteratively refine generated question-answer pairs to better balance complexity and cognitive demand. We evaluate the generated questions on five meta-evaluation criteria: relevance, importance, clarity, difficulty matching, answerability, to assess the system's ability to control the required complexity and quality of the questions. Preliminary evaluations show that this collaborative multi-agent framework elevates the quality of generated educational content by fostering a more nuanced balance between cognitive challenge and clarity. These promising outcomes suggest that integrating collaborative multi-agent workflows can yield more controlled, pedagogically valuable content that can help advance automated educational content generation and adaptive learning environments.","short_abstract":"Automatic question generation (AQG) for mathematics education remains an elusive goal for Intelligent Tutoring Systems and educators. While pre-trained transformer-based language models have significantly advanced natural language generation, they often struggle to precisely control problem complexity and cognitive dem...","url_abs":"https://arxiv.org/abs/2511.03958","url_pdf":"https://arxiv.org/pdf/2511.03958v1","authors":"[\"Kia Karbasi\",\"Kevin Hong\",\"Mohammad Amin Samadi\",\"Gregory Pottie\"]","published":"2025-11-06T01:24:07Z","proceeding":"cs.MA","tasks":"[\"cs.MA\",\"cs.CL\",\"cs.HC\"]","methods":"[\"Transformer\",\"Language Model\"]","has_code":false}