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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Bibliografische Detailangaben

Hauptverfasser:	Sanghyun Cho, Minho Kim, Hye-Lynn Kim, Jung-Hun Lee, Hyuk-Chul Kwon, Soo-Jong Lim
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-02-01
Schriftenreihe:	Computers
Schlagworte:	table question answering cross-lingual adaptation pretrained language models large language models
Online-Zugang:	https://www.mdpi.com/2073-431X/15/2/92
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