Zobrazeno 1 - 2
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pro vyhledávání: '"Rajanala, Sravanthi"'
It is often noted that single query-item pair relevance training in search does not capture the customer intent. User intent can be better deduced from a series of engagements (Clicks, ATCs, Orders) in a given search session. We propose a novel metho
Externí odkaz:
http://arxiv.org/abs/2406.01702
Parameter Efficient Fine-Tuning (PEFT) methods have been extensively utilized in Large Language Models (LLMs) to improve the down-streaming tasks without the cost of fine-tuing the whole LLMs. Recent studies have shown how to effectively use PEFT for
Externí odkaz:
http://arxiv.org/abs/2404.04522