Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

Augmenting Large Language Models (LLMs) for Question Answering (QA) with domain specific data has attracted wide attention. However, domain data often exists in a hybrid format, including text and semi-structured tables, posing challenges for the seamless integration of information. Table-to-Text Ge...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Min, Dehai, Hu, Nan, Jin, Rihui, Lin, Nuo, Chen, Jiaoyan, Chen, Yongrui, Li, Yu, Qi, Guilin, Li, Yun, Li, Nijun, Wang, Qianren
Format:	Artikel
Sprache:	eng
Schlagworte:	Empirical analysis Format Hybrid systems Large language models Questions
Online-Zugang:	Volltext
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