ENTITY hard negative sampling

hard negative sampling

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TOOL · CL_121098 · Jul 1 · 05:07

LLM-based clustering improves hard negative sampling for two-tower retrieval models

A new self-supervised hard negative sampling technique has been developed for large-scale two-tower retrieval models, commonly used in recommendation systems. This method utilizes a large language model (LLM) to cluster…

LLM-based clustering improves hard negative sampling for two-tower retrieval models