Research question
How should one system reason across documents, images, audio, video and operational data?
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Systems that understand documents, images, sensor data and human context together.

How should one system reason across documents, images, audio, video and operational data?
We evaluate representation, retrieval and reasoning patterns using mixed enterprise information.
The work informs applications that understand richer context while retaining source-level evidence.
Cross-modal retrieval
Document and image reasoning
Evidence attribution
Multimodal evaluation
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