... inefficient. Therefore, this paper aims to propose the task of “automated detection of quotation errors.” Design/methodology/approach Adopting a large language model ( LLM )-based approach, this paper improves detection performance from two aspects on the basis of existing research: first, using the fine...

...Xincheng Guo; Fengchang Yu; Jiawei Liu; Wei Lu Purpose This study aims to enhance the performance of fine-tuned small named entity recognition ( NER ) models by leveraging the language generation capability of large language models (LLMs) to rewrite entity contexts, addressing the limited...

...Eungi Kim Purpose This study aims to compare large language models (LLMs) with human analysis for rhetorical move detection in journal article abstracts, examining whether automated discourse analysis can complement human efforts in bibliographic metadata creation and information retrieval...

...Hasaranga Dilshan Jayathilake; Ayoung Yoon; Michin Hong Purpose This study explores how a privacy-preserving local large language model (Local-LLM) assists researchers in evaluating unstructured text data quality, early in the analysis process. It aims to accurately and effectively determine...

...Junzhi Jia; Hui Xu; Yiqian Guo; Wenjing Gao Purpose This study evaluates the capabilities and limitations of large language models (LLMs) in classifying Chinese ethic minority books under the scheme of Chinese Library Classification. Design/methodology/approach A test collection of Chinese...

... Publishing Group Ltd Licensed re-use rights only Artificial intelligence History Cold war Czechoslovakia Multi-agent system Large language models Central intelligence agency Freedom of information act President’s daily brief Soviet invasion Artificial intelligence (AI) has become...

... 05 06 2025 06 08 2025 14 09 2025 07 10 2025 © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence AI Education ChatGPT AI generative tools Large language models Natural language processing...

... on constructivism, and finally proposes the learning support literature classification ( LSLC ). (2) Based on three open source large language models (DeepSeek-R1-Distill-Owen-7B, LLaMA3.1-8B and Qwen2.5-7B), this study designs a two-stage experiment of single strategies and hybrid strategies. The classification...

...Hung-Shin Lee; Chen-Chi Chang; Ching-Yuan Chen; Yun-Hsiang Hsu Purpose This paper aims to evaluate how effectively large language models (LLMs) represent and generate minority cultural knowledge, specifically Taiwanese Hakka culture. To address this, the study proposes a structured and replicable...

... analysis supported by large language models (LLMs). Design/methodology/approach Guided by value theory and patent citation analysis, this study constructs a multidimensional evaluation system using three indicators: knowledge fusion, citation intent and citation position. LLMs are used for traditional...

...Xiaohua Yu; Duxin Shang Purpose This paper aims to construct a multidisciplinary theoretical framework for online disinformation dissemination and summarizes key features for identification, while evaluating the effectiveness of evaluation-index-based methods in large language models (LLMs)-driven...

... with valid descriptions; subsequently, a multilingual generative large language model fine-tuned with book bibliographic data is used to generate CLC codes for data sets based on their valid descriptions; and, finally, the generated CLC codes are validated and corrected by a prefix tree constructed...

... to report results on a study that evaluates the potential of using microdata extracted from the Web to augment the large, open and manually curated Wikidata KG for the domain of touristic information. As large corpora of Web text is currently being leveraged via large language models (LLMs), these are used...