7 citations · 11 across the 3 of their papers we have counts for
3 papers
Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models
Schrasing Tong, Eliott Zemour, Jessica Lu +2
Although large language models (LLMs) have demonstrated their effectiveness in a wide range of applications, they have also been observed to perpetuate unwanted biases present in t…
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal +1
Federated Generative Adversarial Network (FedGAN) is a communication-efficient approach to train a GAN across distributed clients without clients having to share their sensitive tr…
N3Logic: A Logical Framework For the World Wide Web
Tim Berners-Lee, Dan Connolly, Lalana Kagal +2
The Semantic Web drives towards the use of the Web for interacting with logically interconnected data. Through knowledge models such as Resource Description Framework (RDF), the Se…