Self-improving data synthesis can scale embedding-model adaptation across domains and tasks.

arXiv:2610.14730v3 Announce Type: replace-cross Abstract: AI agents require specialised retrieval across domains and tasks, but adapting embedding models is constrained by costly manual training-data design. Here we introduce SYNTRA, a self-improving agentic d