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
Submission Details
Submission Deadline: November 25th, 2024
Submission System: https://softconf.com/coling2025/FinNLP25/
Paper Notification: December 5th, 2024
Camera-Ready Deadline: December 13th, 2024
FinNLP-FNP-LLMFinLegal-2024: Jan 19-20, 2025 (Two-Day Workshop)
Time zone: Anywhere On Earth (AOE)
Format
The ACL Template MUST be used for your submission(s). Accepted papers proceedings will be published at 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.
Policies
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 FinNLP-FNP-LLMFinLegal-2024 paper submission link above.
At least one author of each accepted paper should register and present their work in FinNLP-FNP-LLMFinLegal-2024.