LMVQA: LLM-Based Multimodal QA System for Diagram-Rich Technical Meeting Videos

Jul 14, 2026

Researchers introduced LMVQA, a large language model-based multimodal question-answering system designed for technical meeting videos containing diagram-rich content such as UML diagrams. LMVQA significantly improved answer accuracy over a state-of-the-art baseline, from 31% to 94% on an industrial dataset and from 21% to 88% on a public dataset. The system also reduced average response time and LLM API costs after a one-time video indexing process. Interviews with domain experts highlighted LMVQA's value for locating relevant information and tracing rationale in software engineering meetings.

Why it matters: LMVQA addresses the challenge of efficiently retrieving knowledge from complex, diagram-rich meeting recordings, which is crucial for software engineering teams relying on asynchronous communication.

Full story at: arXiv Software Engineering ↗