Parameter Efficient Large Language Models for Dual Regime Text to Table Generation

2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.32604/cmes.2026.086051
Data confidence 70 medium
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Abstract

This study addresses the automated conversion of unstructured Kazakh journalistic text into structured tabular representations. Existing text-to-table approaches are commonly developed for high-resource languages, rely on fix... | Find, read and cite all the research you need on Tech Science Press