Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Guillaume Bied
Observed names:
Bied Guillaume,
Bied, Guillaume,
Bied, Guillaume Christophe Michel
Institution:
Ghent University
Observed institutions:
Université Paris-Saclay,
Ghent University,
Indiana University Bloomington,
Centre de Recherche en Économie et Statistique,
Laboratoire Interdisciplinaire des Sciences du Numérique,
TAU: IA : vers des problèmes mieux posés,
ENSAE Paris
show all 7
ORCID:
0009-0003-1370-711X
Observed ORCID:
0009-0003-1370-711X
OpenAlex ID:
A5021937875
Large Language Models Reflect the Ideology of their Creators
2024
·
Buyl, Maarten
, Rogiers, Alexander
, et al.
·
arXiv (Cornell University)
·
95
PDF
Large language models reflect the ideology of their creators
2026
·
Maarten Buyl
, Alexander Rogiers
, et al.
·
npj Artificial Intelligence
·
49
PDF
Designing labor market recommender systems: the importance of job seeker preferences and competition
2021
·
Naya, Victor, Alfonso
, Bied, Guillaume
, et al.
·
HAL
·
26
PDF
Toward Job Recommendation for All
2023
·
Guillaume Bied
, Solal Nathan
, et al.
·
International Joint Conference on Artificial Intelligence
·
14
PDF
Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
2026
·
Yousra Fettach
, Guillaume Bied
, et al.
·
2
PDF
Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)
2025
·
Toine Bogers
, Mesut Kaya
, et al.
·
ACM Conference on Recommender Systems (RecSys)
·
2
STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling
2026
·
Johary, Iman
, Bied, Guillaume
, et al.
·
arXiv (Cornell University)
·
1
PDF
JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes
2026
·
Johary, Iman
, Bied, Guillaume
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Job I Like or a Job I Can Get: Designing Job Recommender Systems Using Field Experiments
2026
·
Bied, Guillaume
, Caillou, Philippe
, et al.
·
arXiv (Cornell University)
·
1
PDF
Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies
2026
·
Vlahos, Filippos
, Bied, Guillaume
, et al.
·
arXiv (Cornell University)
·
1
PDF
BiMi Sheets: Infosheets for bias mitigation methods
2025
·
Defrance, MaryBeth
, Bied, Guillaume
, et al.
·
arXiv (Cornell University)
·
1
PDF
Congestion-Avoiding Job Recommendation with Optimal Transport
2021
·
Bied, Guillaume
, Perennes, Elia
, et al.
·
HAL
·
1
PDF
Sixth Workshop on Recommender Systems for Human Resources (RecSys in HR 2026)
2026
·
Toine Bogers
, Mesut Kaya
, et al.
·
ACM Conference on Recommender Systems (RecSys)
LLM Persuasiveness Evaluation: A Structured Review of Automated Methods
2026
·
Dementaviciute, Kamile
, Bied, Guillaume Christophe Michel
, et al.
·
Ghent University Academic Bibliography (Ghent University)
PDF
Testing Recommender System with jobseekers in France
2025
·
Bruno Crepon
, Solal Nathan
, et al.
·
AEA Randomized Controlled Trials
JoLA : job landscape aware job recommendation
2025
·
Nathan, Solal
, Bied, Guillaume
, et al.
·
Ghent University Academic Bibliography (Ghent University)
PDF
Designing Recommender Systems for the Labor Market
2024
·
Guillaume Bied
·
theses.fr (ABES)
PDF
Fairness in job recommendations: estimating, explaining, and reducing gender gaps
2023
·
Bied, Guillaume
, Gaillac, Christophe
, et al.
·
HAL
PDF
RECTO : REcommandation diminuant la Congestion par Transport Optimal
2023
·
Bied, Guillaume
, Perennes, Elia
, et al.
·
HAL
PDF
Aversion to job recommendation algorithms among job seekers: a field experiment to measure it and understand what cause it
2023
·
Elia Perennes
, Guillaume Bied
·
AEA Randomized Controlled Trials
Using Data from job seekers, job offers and past hirings to learn a Job Recommender System: the VADORE Project
2023
·
Bied, Guillaume
, Nathan, Solal
, et al.
·
HAL
Gender fairness in job recommendation: a case study
2023
·
Bied, Guillaume
, Gaillac, Christophe
, et al.
·
HAL
On the impact of overfitting in learning to rank using a margin loss: a case study in job recommender systems
2022
·
Nathan, Solal
, Bied, Guillaume
·
HAL
Recommender system in a non-stationary context: recommending job ads in pandemic times
2022
·
Bied, Guillaume
, Nathan, Solal
, et al.
·
HAL
PDF
Show more works
View as search
Works count:
35
Citation count:
221
H-index:
6
I10-index:
5
Year
Topic
Type