Call for Papers: We are pleased to announce the eleventh edition of the FinNLP Workshop, the annual workshop of ACL SIG-FinTech, organized in collaboration with The Fin AI and co-located with EMNLP 2026 in Budapest, Hungary.
FinNLP brings together researchers and practitioners working at the intersection of Natural Language Processing, Machine Learning, Large Language Models, finance, economics, and law. This year, alongside the Call for Papers, we also invite proposals for FinEval shared tasks (see the Call for Challenges on our website) to advance open, reproducible, and community-driven evaluation in financial AI.
Important dates
- July 1st, 2026: Submission system opens.
- August 11th, 2026: Direct paper submission deadline (via OpenReview).
- August 27th, 2026: Pre-reviewed ARR commitment deadline (via OpenReview).
- September 1st, 2026: Notification of acceptance.
- September 10th, 2026: Camera-ready due.
- October 28th, 2026: Workshop date.
*All deadlines are 11:59PM UTC-12:00 ("Anywhere on Earth").
For the FinEval Call for Challenges, task proposals are due June 20th, 2026, with the final task list announced on July 1st, 2026, and system papers due August 11th, 2026.
Overview
FinNLP invites the submission of original and unpublished research on methods, theories, applications, systems, datasets, benchmarks, and evaluations related to financial NLP, financial AI, and financial large language models. FinNLP addresses the complexities of financial documents — which often contain tables, numerical, and multimodal data — as well as the legal and compliance challenges of the financial industry. We hope the workshop will serve as an interdisciplinary venue for cross-collaboration across the AI, NLP, finance, and legal communities.
The topics of the workshop include, but are not limited to:
- Language modeling on financial corpora, including tabular, numerical, and multimodal data.
- Graph representation learning and mining on financial data.
- Multi-source knowledge integration and fusion.
- Synthetic and genuine financial datasets and benchmarks.
- Transfer learning applications for financial data.
- Financial search and question answering systems.
- Event discovery and impact on organizational equity price.
- ESG event discovery, evaluation, and impact assessment.
- Compliance monitoring.
- Cross-disciplinary LLM-based methodologies for financial and legal domains.
- Applications of LLMs in financial auditing and regulatory reporting.
- Ethical implications and bias mitigation in AI applications.
- Hallucination mitigation and evaluation in LLMs.
- Privacy concerns and data protection strategies.
- Interpretability and explainability of LLMs.
- Responsible AI practices and governance.
- Methods, evaluation metrics, benchmarks, and datasets for LLMs in finance and law.
Paper Submission Information
Submission Types
- Long papers of up to 8 pages + references. Reports of completed, original, and unpublished research. An optional appendix may appear after the references in the same PDF. Accepted papers will be presented at the workshop and published in the ACL Anthology. These papers undergo double-blind peer review and must be anonymized.
- Short and demo papers of up to 4 pages + references. Focused contributions, novel ideas, negative results, or system demonstrations. Published in the ACL Anthology; double-blind peer review; must be anonymized.
*For all paper types, we accept direct submissions or pre-reviewed ARR commitments through OpenReview.
*All submissions must use the ACL template and follow the official EMNLP style guidelines. All direct submissions must be fully anonymized. There will be no author rebuttal period; pre-reviewed ARR commitments will be checked by the Program Chairs / Area Chairs for eligibility, scope, and final acceptance.
*Accepted submissions will be presented at the workshop, most as posters and some as oral presentations, as determined by the program committee. At least one author of each accepted paper should register and present their work.
Organizers
- Chung-Chi Chen, Assistant Professor, National Institute of Informatics (NII), Japan
- Yongjae Lee, Associate Professor, UNIST, South Korea
- Jimin Huang, University of Manchester & The Fin AI
- Sophia Ananiadou, Professor, University of Manchester, UK
- Hsin-Hsi Chen, Professor, National Taiwan University, Taiwan
- Hiroya Takamura, Team Leader, AIST, Japan
Contact
Please contact the organizers via email (aclsigfintech [at] gmail.com) for any questions.
Read more on the workshop's website: https://sigfintech.github.io/finnlp2026/