Suzan Verberne

Research focuses on enhancing user satisfaction models with balanced datasets.

Exploring the complexities of assessing legal information retrieval systems and their effectiveness.

This study aims to enhance stance detection for better viewpoint diversity.

Study assesses representation of biomedical topics in science maps.

BrightFit enhances course suggestions through a new two-stage retrieval approach.

Exploring how language models tackle reasoning tasks effectively.

Few-shot indexing improves information retrieval by combining indexing and retrieval processes efficiently.

This study aims to improve QA systems for languages with limited data.

Learn how diverse data sources reshape science maps for better research insights.