Research

I’m currently interested in what people actually mean when they call a dataset “diverse”. I work on embedding-based measures of data diversity: what they capture, how they differ, and which of them hold up.

The work is part of the DataDivers project at Utrecht University.

Publications 2 entries

Oct. 2026 Measuring Data Diversity with Embeddings: A Taxonomy and Benchmark for Diversity Measures

arXiv Code

C. Su, A. Wegmann, E. Ploeger, D. Nguyen · EMNLP 2026 (Main)

Jul. 2026 emb-diversity: A Tool for Embedding-Based Measurement of Data Diversity

arXiv

C. Su, M. Velayuthan, E. Ploeger, D. Nguyen, A. Wegmann · arXiv preprint

Theses 1 entry

Jun. 2024 Enhancing English Dysarthric Speech Recognition with Age-Matched Healthy Speech: A Fine-Tuning Approach Using wav2vec 2.0 MSc thesis · University of Groningen