De Bie, Tijl

1. Large Language Models Reflect the Ideology of their Creators
   2024/10/24 by Maarten Buyl, Alexander Rogiers, Buyl, Maarten +20 · 14 voices · 26 citations
   Social Sciences · #Computational and Text Analysis Methods
2. What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
   2025/04/04 by Sander Noels, Noels, Sander, Guillaume Bied +11 · 2 voices · 8 citations
   Computer Science · Social Sciences · #Computational and Text Analysis Methods #Hate Speech and Cyberbullying Detection #Misinformation and Its Impacts #cs.CL #cs.CY #cs.LG
3. Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications
   2024/11/11 by Sander Noels, Rogiers, Alexander, Alexander Rogiers +5 · 1 voice · 12 citations
   Arts and Humanities · Physics and Astronomy · Social Sciences · #Media Influence and Health #Misinformation and Its Impacts #Opinion Dynamics and Social Influence #cs.CL
4. DeBayes: a Bayesian Method for Debiasing Network Embeddings
   2020/02/26 by Maarten Buyl, Tijl De Bie, Buyl, Maarten +1 · 5 citations
   Computer Science · Social Sciences · #Advanced Graph Neural Networks #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
5. Opinion Dynamics with Backfire Effect and Biased Assimilation
   2019/03/27 by Chen, Xi, Tsaparas, Panayiotis, Lijffijt, Jefrey +1 · 3 citations
   #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
6. Optimal Transport of Classifiers to Fairness
   2022/02/08 by Buyl, Maarten, De Bie, Tijl · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. fairret: a Framework for Differentiable Fairness Regularization Terms
   2023/10/26 by Buyl, Maarten, Defrance, MaryBeth, De Bie, Tijl · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Evaluating Feature Attribution Methods in the Image Domain
   2022/02/22 by Gevaert, Arne, Rousseau, Axel-Jan, Becker, Thijs +3 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. A challenge-based survey of e-recruitment recommendation systems
   2022/09/12 by Mashayekhi, Yoosof, Li, Nan, Kang, Bo +2 · 2 citations
   #FOS: Computer and information sciences #Information Retrieval (cs.IR)
10. ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
    2024/09/25 by Defrance, MaryBeth, Buyl, Maarten, De Bie, Tijl · 4 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model
    2023/04/17 by Nan Li, Bo Soo Kang, Li, Nan +3 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
12. The KL-Divergence between a Graph Model and its Fair I-Projection as a\n Fairness Regularizer
    2021/03/02 by Maarten Buyl, Buyl, Maarten, Tijl De Bie +1 · 1 citation
    Computer Science · Social Sciences · #Advanced Graph Neural Networks #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
13. New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs
    2023/11/30 by Romero, Raphaël, De Bie, Tijl, Lijffijt, Jefrey · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
14. Building and Measuring Trust between Large Language Models
    2025/08/20 by Buyl, Maarten, Fettach, Yousra, Bied, Guillaume +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)