Jeroen Van Hautte

According to our database1, Jeroen Van Hautte authored at least 12 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain.
CoRR, April, 2026

2025
Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker.
CoRR, November, 2025

Efficient Text Encoders for Labor Market Analysis.
IEEE Access, 2025

Multilingual JobBERT for Cross-Lingual Job Title Matching.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

2024
SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness.
CoRR, 2024

On the Biased Assessment of Expert Finding Systems.
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
Extreme Multi-Label Skill Extraction Training using Large Language Models.
CoRR, 2023

Career Path Prediction using Resume Representation Learning and Skill-based Matching.
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
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction.
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

2021
JobBERT: Understanding Job Titles through Skills.
CoRR, 2021

2020
Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion.
CoRR, 2020

2019
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019


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