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

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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Bibliographic Details
Main Authors: Zhiyi Luo, Sirui Yan, Shuyun Luo
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Mathematics
Subjects:
deep learning
pretrained language model
retrieval-based question answering
multitask learning
fine tuning
Online Access:https://www.mdpi.com/2227-7390/11/12/2733

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