Multitask Fine Tuning on Pretrained Language Model for Retrieval-Based Question Answering in Automotive Domain

Retrieval-based question answering in the automotive domain requires a model to comprehend and articulate relevant domain knowledge, accurately understand user intent, and effectively match the required information. Typically, these systems employ an encoder–retriever architecture. However, existing...

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Bibliografische gegevens

Hoofdauteurs:	Zhiyi Luo, Sirui Yan, Shuyun Luo
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2023-06-01
Reeks:	Mathematics
Onderwerpen:	deep learning pretrained language model retrieval-based question answering multitask learning fine tuning
Online toegang:	https://www.mdpi.com/2227-7390/11/12/2733
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