Quanta AI Labs

University of Waterloo / Tiger AI Lab · Agent Framework

TheoremExplainAgent

An agentic system that generates long-form theorem explanation videos (5+ minutes) using Manim animations through a two-agent architecture (planner + coding agent). Introduces TheoremExplainBench with 240 theorems and 5 evaluation metrics; o3-mini achieves 93.8% success rate, revealing that multimodal explanations expose reasoning flaws invisible to text-based evaluation.

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