Best Practices for Distilling Large Language Models into BERT for Web Search Ranking

Recent studies have highlighted the significant potential of Large Language Models (LLMs) as zero-shot relevance rankers. These methods predominantly utilize prompt learning to assess the relevance between queries and documents by generating a ranked list of potential documents. Despite their promis...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Ye, Dezhi, Hu, Junwei, Fan, Jiabin, Bowen, Tian, Liu, Jie, Liang, Haijin, Ma, Jin
Format:	Artikel
Sprache:	eng
Schlagworte:	Best practice Documents Knowledge management Large language models Ranking Search engines
Online-Zugang:	Volltext
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