Call for Papers

Topics of Interest

We invite submissions of original contributions on methods, theories, applications, and systems on artificial intelligence, machine learning, natural language processing & understanding, big data, statistical learning, data analytics, and deep learning, with a focus on knowledge discovery in the financial services domain. The scope of the workshop includes, but is not limited to, the following areas:

• Language modeling on financial corpora, including tabular and numerical data, and multi-modal modeling
• 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
• Enhancing interpretability and explainability of LLM models
• Responsible AI practices and governance
• Methods, evaluation metrics, benchmarks, and datasets for LLMs in finance and law

Important Dates

// Time zone: Anywhere On Earth (AOE)

Format

The ACL Template MUST be used for your submission(s). Accepted papers' proceedings will be published at the ACL Anthology.

• Long Paper: may consist of up to 8 pages of content, plus unlimited pages for references and appendix.
• Short Paper and Demo Paper: may consist of up to 4 pages of content, plus unlimited references and appendix.

Review & Presentation

• The reviewing process will be double-blind for Long and Short Paper, and single-blind for Demo Paper.
• Submissions must be in electronic form using the paper submission link above.
• At least one author of each accepted paper should register and present their work at FinNLP 2026.

Open Research Policy

As part of ACL SIG-FinTech's reproducibility and transparency initiative, we will pilot an open research policy for accepted papers.

• Authors of accepted papers are strongly encouraged to publicly release their implementation code, model inputs, and model outputs to support reproducibility and future re-evaluation.
• For LLM-based approaches, authors are encouraged to release prompts, inference configurations, generated outputs, and evaluation artifacts associated with their experiments whenever possible.
• Exceptions may be granted in cases involving legal, licensing, privacy, commercial, or security constraints. Authors requesting exceptions should discuss their situation with the organizers.
• Presentation videos from the workshop will be uploaded to the ACL SIG-FinTech YouTube channel for public access and long-term educational use.

Contact

For questions about submissions or the workshop, contact aclsigfintech@gmail.com.