cross-model-calibration

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Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing

arXiv cs.CL · 2天前 缓存

Introduces Synthetic Query Probing (SQP), a reference-free method for learning mappings between similarity score distributions across embedding models, enabling threshold portability in RAG systems. Experiments show systematic score distortions and isotonic regression as the best calibration approach.

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