The article introduces FAQ-Gen, a system designed to generate Frequently Asked Questions (FAQs) tailored to specific domains to aid in content comprehension. This is achieved through the use of Natural…
Continue readingThe paper presents a study testing the portability of task-specific knowledge encoded in modules trained by parameter-efficient finetuning (PEFT) techniques. Using sentiment analysis as an example, the authors conduct 1,440…
Continue readingThe article presents a survey on transfer learning methods applied in the field of Human Activity Recognition (HAR). The authors highlight the challenges faced in sensor-based HAR due to the…
Continue readingPhysics-informed neural network (PINN) is a data-driven solver for differential equations, providing a unified framework to address both forward and inverse problems. However, the complexity of the objective function often…
Continue readingThis academic article introduces a novel active learning method for efficiently estimating the geographic range of a species based on limited on-site observations. The researchers model the range of an…
Continue readingThe article discusses the importance of fault diagnosis in rotating machinery for the safety and stability of modern industrial systems. It highlights the challenge of distribution discrepancy between training data…
Continue readingThe article discusses the application of Natural Language Processing (NLP) and Deep Learning (DL) in improving the identification of Venous thromboembolism (VTE) from radiology reports. VTE, which includes deep vein…
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