290 citations · 717 across the 39 of their papers we have counts for
44 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…
Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
Yousra Fettach, Guillaume Bied, Hannu Toivonen +1
Humor is one of the most culturally embedded and socially significant dimensions of human communication, yet it remains largely unexplored as a dimension of Large Language Model (L…
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
Matthias De Lange, Warre Veys, Federico Retyk +16
Today's evolving labor markets rely increasingly on recommender systems for hiring, talent management, and workforce analytics, with natural language processing (NLP) capabilities…
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphaël Romero, Tijl De Bie, Nick Heard +1
Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within eac…
BiMi Sheets: Infosheets for bias mitigation methods
MaryBeth Defrance, Guillaume Bied, Maarten Buyl +2
Over the past 15 years, hundreds of bias mitigation methods have been proposed in the pursuit of fairness in machine learning (ML). However, algorithmic biases are domain-, task-,…
JobHop: A Large-Scale Dataset of Career Trajectories
Iman Johary, Raphael Romero, Alexandru C. Mara +1
Understanding labor market dynamics is essential for policymakers, employers, and job seekers. However, comprehensive datasets that capture real-world career trajectories are scarc…