MuDoC: A Multimodal Document-grounded Conversational AI System

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Authors: Karan Taneja
Cited by: 0

Abstract

MuDoC is a MUltimodal DOcument-grounded Conversational AI system for multimedia learning. MuDoC generates responses interleaved with text and images in a format similar to news or blog articles. Based on GPT-4o, it uses past chat as context to understand user queries and responds based on retrieved visuals and text from documents. Its user interface (UI) allows seamless navigation to image and text sources, and enables verification of AI generated content. This feature enables learners to verify the generated content, thereby fostering trust in AI systems for information seeking. Our work is a step towards creating trustworthy multimodal intelligent documents and employing them in learning environments. Some examples of conversations can be viewed at https://tinyurl.com/MuDoCSamples.

Fields of Study & Subjects

Multimodal Machine Learning Applications Explainable Artificial Intelligence (XAI) Emotion and Mood Recognition

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
1 February 2026
Document type
Preprint