This article surveys and organizes research works in a new paradigm in natural language
processing, which we dub “prompt-based learning.” Unlike traditional supervised learning …

Multiscale simulation and homogenization of materials have become the major
computational technology as well as engineering tools in material modeling and material …

Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Prediction of enzyme kinetic parameters is essential for designing and optimizing enzymes
for various biotechnological and industrial applications, but the limited performance of …

With the launch of text-based artificial Intelligence (AI) powered ChatGPT by OpenAI, the
natural language processing method of communicating has been captivating the business …

With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

Several applications have emerged with the proliferation of mobile devices to provide
communication, learning, social networking, entertainment, and community computing …

Traditional machine learning, mainly supervised learning, follows the assumptions of closed-
world learning, ie, for each testing class, a training class is available. However, such …

In knowledge-based organizations, employee turnover is a significant challenge. Frequently,
a company's competitive advantage can be traced back to the tacit knowledge of its …