Presentation
Enabling Visually Aware Conversational Data Visualization Through LLM Augmentation
SessionPosters
DescriptionWe introduce a method that makes Large Language Models both data-aware and visually-aware by augmenting them with structured metadata. Visual features and textual descriptions are combined into a compact JSON file, enabling accurate, context-specific answers without fine-tuning. Tested on geospatial datasets, a user study confirmed its effectiveness and user appeal.
