Federico Retyk

According to our database, Federico Retyk authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain.

Matthias De Lange, Warre Veys, Federico Retyk, Daniel Deniz, Warren Jouanneau, Mike Zhang, Aleksander Bielinski, Emma Jouffroy, Nicole Clobes, Nina Baranowska, David Graus, Marc Palyart, Rabih Zbib, Dimitra Gkatzia, Thomas Demeester, Tijl De Bie, Toine Bogers, Jens-Joris Decorte, Jeroen Van Hautte

CoRR, April, 2026

2024

Inductive Graph Neural Network for Job-Skill Framework Analysis.

Hermenegildo Fabregat, Rus Poves, Lucas Lacasa Alvarez, Federico Retyk, Laura García-Sardiña, Rabih Zbib

Proces. del Leng. Natural, 2024

MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations.

Federico Retyk, Luis Gascó, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib

Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation.

Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gascó, Rabih Zbib

Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023

Normalisation of Education Information in Digitalised Recruitment Processes.

Laura García-Sardiña, Federico Retyk, Hermenegildo Fabregat, Lucas Lacasa Alvarez, Rus Poves, Rabih Zbib

Proces. del Leng. Natural, 2023

Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study.

Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib

Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Learning Job Titles Similarity from Noisy Skill Labels.

Rabih Zbib, Lucas Lacasa Alvarez, Federico Retyk, Rus Poves, Juan Aizpuru, Hermenegildo Fabregat, Vaidotas Simkus, Emília Garcia Casademont

CoRR, 2022