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Post-hoc interpretability for neural nlp: A survey
Neural networks for NLP are becoming increasingly complex and widespread, and there is a
growing concern if these models are responsible to use. Explaining models helps to address …
growing concern if these models are responsible to use. Explaining models helps to address …
[HTML][HTML] From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
Deep learning (DL) has substantially enhanced natural language processing (NLP) in
healthcare research. However, the increasing complexity of DL-based NLP necessitates …
healthcare research. However, the increasing complexity of DL-based NLP necessitates …
Transparent medical image AI via an image–text foundation model grounded in medical literature
Building trustworthy and transparent image-based medical artificial intelligence (AI) systems
requires the ability to interrogate data and models at all stages of the development pipeline …
requires the ability to interrogate data and models at all stages of the development pipeline …
[PDF][PDF] AI-driven threat detection and response: A paradigm shift in cybersecurity
A Yaseen - International Journal of Information and Cybersecurity, 2023 - researchgate.net
The research paper delves into the transformative role of artificial intelligence (AI) in
revolutionizing cybersecurity. This study examines the historical context and evolution of AI …
revolutionizing cybersecurity. This study examines the historical context and evolution of AI …
Triggerless backdoor attack for NLP tasks with clean labels
L Gan, J Li, T Zhang, X Li, Y Meng, F Wu… - ar**, implementing, and evaluating an artificial intelligence–guided mental health resource navigation chatbot for health care workers and their …
Background: Approximately 1 in 3 Canadians will experience an addiction or mental health
challenge at some point in their lifetime. Unfortunately, there are multiple barriers to …
challenge at some point in their lifetime. Unfortunately, there are multiple barriers to …
Coding energy knowledge in constructed responses with explainable NLP models
Background Formative assessments are needed to enable monitoring how student
knowledge develops throughout a unit. Constructed response items which require learners …
knowledge develops throughout a unit. Constructed response items which require learners …