RecSys-in-HR 2025
Recommender Systems for Human Resources 2025

Table of Contents

• Summary: There were 16 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume.

• An Efficient Long-Context Ranking Architecture With Calibrated LLM Distillation: Application to Person–Job Fit
  Warren Jouanneau , Emma Jouffroy , Marc Palyart
• Benchmarking Predictive and Recommendation Models for Knowledge Work Productivity on the RLKWiC Dataset
  Yuuki Tachioka
• Explained, yet misunderstood: How AI Literacy shapes HR Managers’ interpretation of User Interfaces in Recruiting Recommender Systems
  Yannick Kalff , Katharina Simbeck
• Evaluating LLM Behavior in Hiring: Implicit Weights, Fairness Across Groups, and Alignment with Human Preferences
  Morgane Hoffmann , Emma Jouffroy , Warren Jouanneau , Marc Palyart , Charles Pebereau
• From Retrieval to Ranking: A Two-Stage Neural Framework for Automated Skill Extraction
  Aleksander Bielinski , David Brazier
• JoLA: Job Landscape Aware Job Recommendation
  Solal Nathan , Guillaume Bied , Elia Perennes , Philippe Caillou , Bruno Crepon , Christophe Gaillac , Michèle Sebag
• Mind the Task Gap: Unsupervised Skill–Task Link Prediction for Workforce Upskilling
  Yee Sen Tan , Daryl Low , Eugene Chua , Alejandro Seif , Leo Li , Lois Ji
• Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs
  Vadim Zadykian , Bruno Andrade , Haithem Afli
• Understanding and Defending Against Resume-Based Prompt Injections in HR AI
  Arda Akdemir , Joshua H. Levy