Self-improving data synthesis enables scalable adaptation of embedding models
SYNTRA is introduced, a self-improving agentic framework that turns a few retrieval examples into reusable synthesis instructions that enables scalable embedding-model adaptation with minimal human intervention.
Zucan Lyu, Rui Tang, Jianlyu Chen et al.
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