5 papers
An Agentic Hybrid Top-Down and Bottom-Up Approach to Knowledge Graph Generation
Emma Jouffroy, Warren Jouanneau, Marc Palyart
Organizing thousands of unstandardized, multilingual expertise declarations is a persistent challenge for Human Resources (HR) platforms, directly impacting downstream tasks like a…
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
Matthias De Lange, Warre Veys, Federico Retyk +16
Today's evolving labor markets rely increasingly on recommender systems for hiring, talent management, and workforce analytics, with natural language processing (NLP) capabilities…
Evaluating LLM Behavior in Hiring: Implicit Weights, Fairness Across Groups, and Alignment with Human Preferences
Morgane Hoffmann, Emma Jouffroy, Warren Jouanneau +2
General-purpose Large Language Models (LLMs) show significant potential in recruitment applications, where decisions require reasoning over unstructured text, balancing multiple cr…
An Efficient Long-Context Ranking Architecture With Calibrated LLM Distillation: Application to Person-Job Fit
Warren Jouanneau, Emma Jouffroy, Marc Palyart
Finding the most relevant person for a job proposal in real time is challenging, especially when resumes are long, structured, and multilingual. In this paper, we propose a re-rank…
Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval
Warren Jouanneau, Marc Palyart, Emma Jouffroy
Finding the perfect match between a job proposal and a set of freelancers is not an easy task to perform at scale, especially in multiple languages. In this paper, we propose a nov…