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From a Large-Scale Teacher to Efficient Multimodal Students for Search Relevance Prediction
Relevance prediction between user queries and items is a fundamental component of e-commerce search systems. Traditionally, high-quality relevance labels are obtained through human judgment, which is reliable but expensive, slow, and difficult to scale. Recent advances in large language models (LLMs
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