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08/13/2023
Faithful to Whom? Questioning Interpretability Measures in NLP
A common approach to quantifying model interpretability is to calculate ...
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03/16/2023
Measuring Improvement of F_1-Scores in Detection of Self-Admitted Technical Debt
Artificial Intelligence and Machine Learning have witnessed rapid, signi...
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01/13/2023
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
We apply a large multilingual language model (BLOOM-176B) in open-ended ...
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10/13/2022
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Advances in natural language generation (NLG) have resulted in machine g...
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03/02/2022
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers
The detection of computer-generated text is an area of rapidly increasin...
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08/29/2019
Towards Ethical Content-Based Detection of Online Influence Campaigns
The detection of clandestine efforts to influence users in online commun...
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10/05/2017
McDiarmid Drift Detection Methods for Evolving Data Streams
Increasingly, Internet of Things (IoT) domains, such as sensor networks,...
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09/07/2017
