Your Embedding Model is SMARTer Than You Think
- Published
- Source
- arXiv
- Paper number
- 251
- Field
- Information Retrieval
- arXiv ID
- 2605.24938
Key points
- In efficiency terms, developers can upgrade existing retrieval systems to support multiple vectors without reindexing the entire database or performing expensive retraining.
- In accuracy terms, SMART points toward a universal retrieval model that works well both for global tasks such as image classification and for local tasks such as finding a specific sentence in a 100-page manual.
Paper links
External research summaries. These are not HDATF publications or measured product results.