3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Meronymic Ontology Extraction via Large Language Models
Dekai Zhang, Simone Conia, Antonio Rago
Ontologies have become essential in today's digital age as a way of organising the vast amount of readily available unstructured text. In providing formal structure to this informa…
cs.LG2025
Clustered Federated Learning via Embedding Distributions
Dekai Zhang, Matthew Williams, Francesca Toni
Federated learning (FL) is a widely used framework for machine learning in distributed data environments where clients hold data that cannot be easily centralised, such as for data…
cs.LG2025★ 3 cited
XAI-Units: Benchmarking Explainability Methods with Unit Tests
Jun Rui Lee, Sadegh Emami, Michael David Hollins +5
Feature attribution (FA) methods are widely used in explainable AI (XAI) to help users understand how the inputs of a machine learning model contribute to its outputs. However, dif…