91 citations · 93 across the 9 of their papers we have counts for
9 papers
To Redact, or not to Redact? A Local LLM Approach to Deliberative Process Privilege Classification
Maik Larooij, David Graus
Government transparency laws, like the Freedom of Information (FOIA) acts in the United States and United Kingdom, and the Woo (Open Government Act) in the Netherlands, grant citiz…
From Legal Text to Executable Decision Models: Evaluating Structured Representations for Legal Decision Model Generation
David Graus
Transforming legal text into executable decision logic is a longstanding challenge in legal informatics. With the rise of LLMs, this task has gained renewed interest, but remains c…
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…
From Quotes to Concepts: Axial Coding of Political Debates with Ensemble LMs
Angelina Parfenova, David Graus, Juergen Pfeffer
Axial coding is a commonly used qualitative analysis method that enhances document understanding by organizing sentence-level open codes into broader categories. In this paper, we…
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses
Lois Rink, Job Meijdam, David Graus
Understanding preferences, opinions, and sentiment of the workforce is paramount for effective employee lifecycle management. Open-ended survey responses serve as a valuable source…
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
Spyros Avlonitis, Dor Lavi, Masoud Mansoury +1
This study explores the potential of reinforcement learning algorithms to enhance career planning processes. Leveraging data from Randstad The Netherlands, the study simulates the…
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey
Alessandro Fabris, Nina Baranowska, Matthew J. Dennis +5
Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and st…
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules
Jarno Vrolijk, David Graus
The increased digitization of the labour market has given researchers, educators, and companies the means to analyze and better understand the labour market. However, labour market…
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers
Dor Lavi, Volodymyr Medentsiy, David Graus
In this paper we focus on constructing useful embeddings of textual information in vacancies and resumes, which we aim to incorporate as features into job to job seeker matching mo…