Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports

Research article (Computers, 2024) · cited 13× · AI/ML
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Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports

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Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-large-language-models-used-for-extracting-table-information-from-annual-financial-reports
MLA “Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-large-language-models-used-for-extracting-table-information-from-annual-financial-reports.
BibTeX @misc{4ortxyz_assessing-large-language-models-used-for-extracting-table-information-from-annual-financial-reports_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-large-language-models-used-for-extracting-table-information-from-annual-financial-reports}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports — https://4ort.xyz/entity/assessing-large-language-models-used-for-extracting-table-information-from-annual-financial-reports (retrieved 2026-05-24)

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