The workshop welcomes submissions from a variety of topics, including but not limited to:

Financial data preprocessing for use with LLMs
Approaches and practices of human-in-the-loop for using LLMs in financial applications
Fine-tuning LLMs for financial applications
Using LLMs for market predication
Using LLMs for different financial tasks, such as data collection, entity extraction, relation extraction, classification, clustering, novelty detection, event detection, summarization, translation, data integration, etc.
LLMs application with different data types, e.g. social media, news, reports, and market data
Domain adaptation and transfer learning using LLMs
Knowledge graph (knowledge base, ontology) construction and completion with LLMs
Question-answering and dialog system with LLMs
Text to SQL using LLMs
Decision making systems and trading algorithm using LLMs
Analysis of financial reports and filings
Use cases of multimodal LLMs for financial data
Case studies and practices applying LLMs in financial services
Privacy, fairness, ethical, legal, and other considerations of using LLMs in financial service
Challenges of using LLMs in financial services
Other research and applications of NLP or machine learning in financial services


The Workshop will be co-located with 2026 IEEE International Conference on Big Data (IEEE BigData 2026)
December 14-17, 2026
Phoenix, Arizona, USA (online or Hybrid)
IEEE BigData 2026

All papers accepted will be included in the conference proceedings published by the IEEE Computer Society Press.

Please submit a full paper (up to 10 page IEEE 2-column format) or short paper (up to 4 page IEEE 2-column format) through the online submission system.