[CFP] CIKM 2025 Workshop on Advances in Financial AI

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Yongjae Lee

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Jul 30, 2025, 2:36:38 AMJul 30
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[Call for Papers] CIKM 2025 Workshop on Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs


The finance sector is rapidly integrating machine learning and AI, with Large Language Models (LLMs), ESG (Environmental, Social, and Governance) investing, and AI Safety significantly reshaping the field. This workshop aims to foster interdisciplinary discussion on how these advancements intersect with core financial AI applications. We invite submissions that combine technical rigor with societal relevance in AI-driven financial decisions. This workshop will be held as part of CIKM 2025 on November 14th at COEX (Gangnam) in Seoul, Republic of Korea.


Workshop Theme and Topics


This workshop explores the evolving landscape of machine learning and AI applications in finance, with a particular focus on the emerging roles of Large Language Models (LLMs), responsible AI practices, and risk-aware decision-making. As financial institutions increasingly adopt AI technologies, the demand for interpretable, trustworthy, and domain-aligned models is higher than ever. This workshop aims to bridge technical advances with real-world constraints, regulatory expectations, and ethical considerations.


Topics of Interest include, but are not limited to:

  • LLMs for financial applications: fine-tuning, prompting, retrieval, and evaluation

  • Risk modeling and robust learning under distributional shifts in financial data

  • AI safety, fairness, and explainability in high-stakes financial environments

  • Multi-lingual and region-specific challenges in applying AI to finance

  • Responsible AI development and deployment in fintech, banking, and asset management

Submission Guidelines


We welcome original research contributions, as well as working papers that foster discussion among students, academic researchers, and industry professionals. All submissions must adhere to the CIKM formatting guidelines, available at: https://www.acm.org/publications/proceedings-template.

  • Long Papers: Up to 8 pages, excluding references and appendices.

  • Short Papers: Up to 4 pages, excluding references and appendices.

At least one author of each accepted paper must register for and attend the workshop in person to present their work. Failure to do so will result in the withdrawal of the paper from the workshop.


Important Dates

  • Paper submission deadline: September 14, 2025 AoE

  • Author notification: September 30, 2025 AoE

  • Camera ready deadline: October 31, 2025 AoE

  • Workshop date: November 14, 2025 

Submission System


Submissions will be managed through OpenReview:

https://openreview.net/group?id=ACM.org/CIKM/2025/Workshop/FinAI


Review Process


This workshop will follow a single-blind review process, where authors’ identities are known to the reviewers, but reviewers’ identities are not disclosed to the authors. There will be no rebuttal period, and all submissions will be treated with strict confidentiality.


Accepted Papers


All accepted papers will be invited to participate in the poster session. Participants are required to print and bring their own posters to the event. Detailed specifications on poster format and requirements will be provided by the organizers after acceptance.


Selected papers may also be given the opportunity for an oral presentation, subject to scheduling constraints.


Please note that the workshop is non-archival and will not have official proceedings. Only the author names and titles of accepted papers will appear on the website, with no disclosure of any content.


Workshop Organizers

  • Yongjae Lee, UNIST, South Korea

  • Nazanin Mehrasa, RBC Borealis, Canada

  • Jacob Chanyeol Choi, LinqAlpha, United States

  • Chung-Chi Chen, AIST, Japan

  • Dhagash Mehta, BlackRock, Inc., United States

  • Stefan Zohren, University of Oxford, United Kingdom

  • Yoon Kim, MIT, United States

  • Chulheum Lee, K-Credit, South Korea

  • Yeonhee Lee, ETRI, South Korea

  • Eunsook Oh, KFTC, South Korea


Contact Person




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