Glossary › multimodal
GLOSSARY
multimodal
appears in 5 paper titles
Definition
Working with more than one type of signal — text, images, audio, video — inside a single model, typically by projecting each into a shared representation space. The point is not merely accepting several inputs but learning correspondences across them, so the model can answer questions about a picture or ground a caption in a video frame. Vision-language models are the most common instance today.
Explainers using this term
- Paper Explained: D-RAC — Normalize Everything to PDF, Read the Pages Once, Then Chunk by IDDocument Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion
- Paper Walkthrough: Puffin-World — A World Model That Remembers Which Way Is UpPuffin-World: Scaling a Unified Multimodal Model with Native 3D World States
- Paper Explained: Video-DeepResearch — Agents That Watch a Video, Then Chase Down Every LeadVideo-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent