Accepted Papers (2023)

Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers
Benjamin Clavié and Guillaume Soulié

FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Nan Li, Bo Kang, Jefrey Lijffijt and Tijl De Bie

Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants
Yuxin Luo, Feng Lu, Vaishali Pal and David Graus

Tackling Cold Start For Job Recommendation With Heterogeneous Graphs
Éric Behar, Julien Romero, Amel Bouzeghoub and Katarzyna Wegrzyn

Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning
Deepak Kumar, Tessa Grosz, Elisabeth Greif, Navid Rekabsaz and Markus Schedl

Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study
Federico Retyk, Hermenegildo Fabregat Marcos, Juan Aizpuru, Mariana Taglio and Rabih Zbib

Career Path Prediction using Resume Representation Learning and Skill-based Matching
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder and Thomas Demeester

Counterfactual Representations for Intersectional Fair Ranking in Recruitment
Clara Rus, Maarten de Rijke and Andrew Yates

Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
Spyros Avlonitis, Dor Lavi, Masoud Mansoury and David Graus

Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules
Jarno Vrolijk and David Graus