13 citations · 31 across the 6 of their papers we have counts for
7 papers
VIGIL: An Extensible System for Real-Time Detection and Mitigation of Cognitive Bias Triggers
Bo Kang, Sander Noels, Tijl De Bie
The rise of generative AI is posing increasing risks to online information integrity and civic discourse. Most concretely, such risks can materialise in the form of mis- and disinf…
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Sander Noels, Guillaume Bied, Maarten Buyl +4
Large Language Models (LLMs) are increasingly deployed as gateways to information, yet their content moderation practices remain underexplored. This work investigates the extent to…
Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications
Sander Noels, Alexander Rogiers, Maarten Buyl +1
The rapid rise of Large Language Models (LLMs) has created new disruptive possibilities for persuasive communication, enabling fully-automated, personalized, and interactive conten…
A Dutch Financial Large Language Model
Sander Noels, Jorne De Blaere, Tijl De Bie
This paper presents FinGEITje, the first Dutch financial Large Language Model (LLM) specifically designed and optimized for various financial tasks. Together with the model, we rel…
Large Language Models Reflect the Ideology of their Creators
Maarten Buyl, Alexander Rogiers, Sander Noels +8
Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These…
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks
Sander Noels, Sébastien Viaene, Tijl De Bie
This paper addresses a long-standing problem in the field of accounting: mapping company-specific ledger accounts to a standardized chart of accounts. We propose a novel solution,…
An Earth Mover's Distance Based Graph Distance Metric For Financial Statements
Sander Noels, Benjamin Vandermarliere, Ken Bastiaensen +1
Quantifying the similarity between a group of companies has proven to be useful for several purposes, including company benchmarking, fraud detection, and searching for investment…