Cross-Lingual Adaptation for Multilingual Table Question Answering and Comparative Evaluation with Large Language Models

Table question answering has been studied using datasets drawn from a variety of tabular sources and task formats. However, most publicly available resources have been created in high-resource languages such as English. For low-resource languages, researchers are often required to construct new data...

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Detalhes bibliográficos

Principais autores:	Sanghyun Cho, Minho Kim, Hye-Lynn Kim, Jung-Hun Lee, Hyuk-Chul Kwon, Soo-Jong Lim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	Computers
Assuntos:	table question answering cross-lingual adaptation pretrained language models large language models
Acesso em linha:	https://www.mdpi.com/2073-431X/15/2/92
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