Leveraging Large Language Models for Multimodal Financial Document Understanding: Intelligent Analysis Combining Charts and Text

This study proposes a multimodal large language model framework, FinDocLLM, designed specifically for financial document understanding that integrates chart, table, and textual information. Financial documents such as annual reports and earnings releases typically contain heterogeneous data modaliti...

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Hlavní autor:	Jin Shengxi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	EDP Sciences 2026-01-01
Edice:	SHS Web of Conferences
Témata:	large language models multimodal learning financial document understanding chart interpretation table reasoning
On-line přístup:	https://www.shs-conferences.org/articles/shsconf/pdf/2026/05/shsconf_fems2026_01012.pdf
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