Publications
An Earth Mover’s Distance Based Graph Distance Metric For Financial Statements.
Sander Noels, Benjamin Vandermarliere, Ken Bastiaensen, and Tijl De Bie.
In 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr).
An efficient graph-based peer selection method for financial statements.
Sander Noels, Simon De Ridder, Sébastien Viaene, and Tijl De Bie.
In 2023 Intelligent Systems in Accounting, Finance, and Management.
Automated Financial Analysis Using GPT-4.
Sander Noels, Adriaan Merlevede, Andrew Fecheyr, Maarten Vanhalst, Nick Meerlaen, Sébastien Viaene, Tijl De Bie.
In 2023 Joint European Conference on Machine Learning and Knowledge Discovery in Databases.
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks.
Sander Noels, Sébastien Viaene, Tijl De Bie.
In Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen) @ IJCAI 2024.
A Dutch Financial Large Language Model.
Sander Noels, Jorne De Blaere, Tijl De Bie.
In Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF 2024), New York, NY, USA.
Large Language Models Reflect the Ideology of their Creators.
Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphael Romero, Iman Johary, Alexandru-Cristian Mara, Jefrey Lijffijt, Tijl De Bie.
ArXiv Pre-Print 2024.
Persuasion with Large Language Models: a Survey.
Alexander Rogiers, Sander Noels, Maarten Buyl, Tijl De Bie.
ArXiv Pre-Print 2024.