The rapid advancements in financial AI are transforming how we analyze data, make decisions, and build intelligent systems. From domain-specific large language models (LLMs) to cutting-edge benchmarks and real-world applications, the field is evolving at an unprecedented pace, bringing both remarkable opportunities and complex challenges.

The Fin AI Symposium - July 2026 (Colocate with ACL 2026) invites researchers, practitioners, and industry leaders to engage in focused discussions on the latest developments in financial AI. This intimate gathering will highlight innovative research, emerging trends, and collaborative opportunities, fostering a vibrant exchange of ideas to shape the future of the field.

Join us this July 2026 to share insights, showcase your work, and connect with a community pushing the boundaries of financial AI innovation!

NOTE: There is no registration fee. Travel and accommodation are self-organised. We provide free food for each registered in-person attendee, so please make sure to register in advance.

CALL FOR POSTERS

We welcome contributions spanning foundational research, practical applications, and visionary concepts that advance the understanding and use of AI in finance.

Topics of Interest (include but are not limited to):

• Financial domain-specific large language models (FinLLMs)

• Multilingual and multimodal financial AI

• Financial misinformation detection and mitigation

• Risk assessment, fraud detection, and compliance automation

• Regulatory technology (RegTech) and AI-driven governance

• Benchmarks, datasets, and evaluation frameworks for FinLLMs

• Ethical, fair, and transparent AI in finance

• Case studies, prototypes, and work-in-progress projects

Submission Guidelines

• Abstract Length: Submissions must not exceed 6 pages (PDF). The abstract should outline the poster content, contributions, and relevance to the symposium themes.

• Submission Deadline: Mar 31, 2026 (23:59 AoE).

• Notification of Acceptance: April 15, 2026 (via OpenReview).

• Submission Method: All submissions must be made through OpenReview

SCHEDULE

• TBD