Multimodal Document Intelligence
Ongoing work on understanding and generating multimodal documents (details coming soon)
This project explores treating documents as a first-class multimodal modality, bridging vision and language to both interpret and produce richly structured content. Rather than separating comprehension from creation, it investigates whether a single framework can reason over document layouts and semantics while also generating document-style visual content, extending the reach of general-purpose multimodal systems.
Focus
- Unifying document understanding and generation within one modeling framework, rather than relying on task-specific components.
- Grounding the structural and layout properties that distinguish documents from ordinary images.
- Connecting the visual and textual dimensions of document content through shared reasoning pathways.
- Learning general-purpose document representations that transfer across a broad range of document types and tasks.
This work is currently under review; more details will be shared once it is published.