{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/multimodal-financial-foundation-models-mffms","title":"Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges","arxiv_id":"2506.01973","date":"2025-05-15","proceeding":null,"authors":["Xiao-Yang Liu Yanglet","Yupeng Cao","Li Deng"],"abstract":"Financial Large Language Models (FinLLMs), such as open FinGPT and proprietary BloombergGPT, have demonstrated great potential in select areas of financial services. Beyond this earlier language-centric approach, Multimodal Financial Foundation Models (MFFMs) can digest interleaved multimodal financial data, including fundamental data, market data, data analytics, macroeconomic, and alternative data (e.g., natural language, audio, images, and video). In this position paper, presented at the MFFM Workshop joined with ACM International Conference on AI in Finance (ICAIF) 2024, we describe the progress, prospects, and challenges of MFFMs. This paper also highlights ongoing research on FinAgents in the \\textbf{SecureFinAI Lab}\\footnote{\\https://openfin.engineering.columbia.edu/} at Columbia University. We believe that MFFMs will enable a deeper understanding of the underlying complexity associated with numerous financial tasks and data, streamlining the operation of financial services and investment processes. Github Repo https://github.com/Open-Finance-Lab/Awesome-MFFMs/.","url_abs":"https://arxiv.org/abs/2506.01973v1","url_pdf":"https://arxiv.org/pdf/2506.01973v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"multimodal-financial-foundation-models-mffms","repo_url":"https://github.com/open-finance-lab/awesome-mffms","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}