Submission Guidelines
The workshop solicits the following submissions.
Regular paper (up to 6 pages) describing original research work that has not been published before.
Position paper (up to 4 pages) reporting preliminary research findings or discussing new and inspiring directions.
Extended abstract (up to 2 pages) highlighting significant works that have been published recently.Â
References and appendix should be appended into the same (single) PDF document, and do not count in the page limit. There is no page limit after acceptance, since our workshop is non-archival!
Formatting Guidelines:
ACM sigconf proceedings template (Refer to https://ai-finance.org/icaif-24-call-for-papers/ for templates)
Submission Website: https://cmt3.research.microsoft.com/IWMFFM2024
The reviewing process is double-blind, using CMT3. All submissions will be peer reviewed based on technical contribution, originality, relevance to areas of interest, and presentation clarity. Papers may be accepted for poster presentation. We will also publish all the accepted papers and extended abstracts on the workshop website (with authors' permission). It will be possible to submit the workshop submissions to other conferences and journals, since our workshop is non-archival.
Papers accepted to the ICAIF 2024 main program cannot be part of the workshop program. Accepted authors are expected to present their work in person.
Relevant Topics
This workshop aims to promote discussions and collaborations among researchers investigating innovative constructions and applications of MFFMs, such as the modality of structured financial data [1]. Researchers in financial services, investment, business, data science, machine learning, and related disciplines are encouraged to join the workshop to discuss challenges and future research directions in topics, including, but not limited to:
Novel architectures and methods for pretraining and fine-tuning MFFMs
Defining model openness in GenAI within the finance and business sectors
Data privacy and regulatory compliance
Interpretability and explainability of MFFMs
Combating "openwashing" practices and behaviors
Combating "model cannibalism" in finance and business
Hallucination and misinformation issues of MFFMs
Applications of MFFMs
Analyzing financial and business reports, e.g., SEC 10-K, 10-Q filings
Discretionary Investment
Quantitative/Algorithmic Investment and Trading
Market Making
Code generation for financial services
[1] The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision). Zhengyuan Yang et al., 2023.
Contact
Please email iwmffm.icaif.2024@gmail.com if you have any questions.