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Jens-Joris Decorte
Jens-Joris Decorte
Lead AI Scientist @ TechWolf
Verifierad e-postadress på techwolf.ai - Startsida
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Jobbert: Understanding job titles through skills
JJ Decorte, J Van Hautte, T Demeester, C Develder
arXiv preprint arXiv:2109.09605, 2021
322021
Extreme multi-label skill extraction training using large language models
JJ Decorte, S Verlinden, J Van Hautte, J Deleu, C Develder, T Demeester
arXiv preprint arXiv:2307.10778, 2023
132023
Design of negative sampling strategies for distantly supervised skill extraction
JJ Decorte, J Van Hautte, J Deleu, C Develder, T Demeester
arXiv preprint arXiv:2209.05987, 2022
122022
Career path prediction using resume representation learning and skill-based matching
JJ Decorte, J Van Hautte, J Deleu, C Develder, T Demeester
arXiv preprint arXiv:2310.15636, 2023
72023
Third Workshop on Recommender Systems for Human Resources (RecSys in HR 2023)
T Bogers, D Graus, M Kaya, C Johnson, JJ Decorte
Proceedings of the 17th ACM Conference on Recommender Systems, 1244-1247, 2023
12023
Is it required? ranking the skills required for a job-title
S Anand, JJ Decorte, N Lowie
arXiv preprint arXiv:2212.08553, 2022
12022
ChocoLlama: Lessons Learned From Teaching Llamas Dutch
M Meeus, A Rathé, F Remy, P Delobelle, JJ Decorte, T Demeester
arXiv preprint arXiv:2412.07633, 2024
2024
Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024)
T Bogers, D Graus, M Kaya, C Johnson, JJ Decorte, T De Bie
Proceedings of the 18th ACM Conference on Recommender Systems, 1222-1226, 2024
2024
On the Biased Assessment of Expert Finding Systems
JJ Decorte, J Van Hautte, C Develder, T Demeester
arXiv preprint arXiv:2410.05018, 2024
2024
SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness
JJ Decorte, J Van Hautte, T Demeester, C Develder
arXiv preprint arXiv:2109.09605, 2024
2024
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