{"id":32444,"date":"2026-01-21T17:01:57","date_gmt":"2026-01-21T17:01:57","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/leveraging-large-language-models-for-few-shot-kpi-extraction-from-financial-reports\/"},"modified":"2026-06-08T13:20:33","modified_gmt":"2026-06-08T13:20:33","slug":"leveraging-large-language-models-for-few-shot-kpi-extraction-from-financial-reports","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/leveraging-large-language-models-for-few-shot-kpi-extraction-from-financial-reports\/","title":{"rendered":"Leveraging Large Language Models for Few-Shot {KPI} Extraction from Financial Reports"},"content":{"rendered":"<p>We explore the use of Large Language Models ({LLMs}) for automating the extraction of Key Performance Indicators ({KPIs}) from diverse financial reports without any additional fine-tuning. We focus on evaluating various proprietary and open-source {LLMs} to address the joint named entity recognition and relation extraction tasks essential for accurately linking {KPIs} to their corresponding values and attributes. Our study highlights the technical challenges involved in the extraction process and presents a comprehensive evaluation of the models\u2019 effectiveness. Our results reveal significant insights into handling these {LLMs} in such a crucial environment and showcase the transformative potential of {LLMs} in enhancing financial analysis and decision-making.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We explore the use of Large Language Models ({LLMs}) for automating the extraction of Key Performance Indicators ({KPIs}) from diverse financial reports without any additional fine-tuning. We focus on evaluating various proprietary and open-source {LLMs} to address the joint named entity recognition and relation extraction tasks essential for accurately linking {KPIs} to their corresponding values and attributes. Our study highlights the technical challenges involved in the extraction process and presents [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32444","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32444","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32444\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32444"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}