arXiv (OAI Expanded)
open access
Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility
Upgrading embedding models typically requires expensive database re-indexing, as new query embeddings are incompatible with existing database embeddings. While Backward Compatible Training (BCT) mitigates this by enforcing compatibility during training, existing approaches often require updating the
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- What Do Students Learn? A Feature-Level Analysis of Dark Knowledge#820494
- Understanding Undesirable Word Embedding Associations#625437
- Understanding Undesirable Word Embedding Associations#623164
- When Successful Knowledge Graph Edits Displace Correct Answers: Rank-Level Locality beyond Parameter Support#1000085
- Vis-Poison: Poisoning Visual Knowledge in Multimodal Retrieval-Augmented Generation#785218
Record · ID 1123292
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive