2 papers
cs.CL2024
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
Harbani Jaggi, Kashyap Murali, Eve Fleisig +1
When annotators disagree, predicting the labels given by individual annotators can capture nuances overlooked by traditional label aggregation. We introduce three approaches to pre…
cs.CL2020
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses
Kashyap Coimbatore Murali
In this paper, we explore the robustness of the Multi-Task Deep Neural Networks (MT-DNN) against non-targeted adversarial attacks across Natural Language Understanding (NLU) tasks…