The FinNLP workshop, as the annual event of ACL SIG-FinTech, focuses on applying NLP, Machine Learning, and Large Language Models to finance, economics, and law, aiming to drive interdisciplinary innovation and address unique challenges in these fields. Since 2019, FinNLP has served as a bridge between AI and NLP communities by collocating with major conferences. Its proceedings are available on the ACL Anthology.

FinNLP addresses the complexities of financial documents, which often contain tables and diverse multimodal data, as well as legal and compliance challenges in the financial industry. Key workshop topics include financial language modeling, multi-modal and graph representation learning, conversational agents, financial search and question answering, event discovery, compliance, and responsible AI practices in finance and law.

We have several interesting shared tasks in the collocated event, FinEval. Please refer to the FinEval page for more details.

The full Call for Papers — topics of interest, important dates, submission instructions (OpenReview), paper formats, and review policies — is available on the FinNLP 2026 site.

• Chung-Chi Chen - National Institute of Informatics (NII), Japan
• Yongjae Lee - UNIST, South Korea
• Jimin Huang - The FinAI, US
• Sophia Ananiadou - University of Manchester, UK
• Hsin-Hsi Chen - National Taiwan University, Taiwan
• Hiroya Takamura - AIST, Japan

• To Be Announced (TBA)