Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Hu, D. (2026) Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context. Open Journal of Modern Linguistics, 16, 115-128. doi: ...
But what if you want to translate into more esoteric “languages” like “LinkedIn Speak,” “Gen Z slang,” or “horny Margaret Thatcher”? This week, many people across the Internet have been bemused to ...
Abstract: With the continuous growth in the number of parameters of the Transformer-based pretrained language models (PLMs), particularly the emergence of large language models (LLMs) with billions of ...
Introduction To enhance nursing students’ critical thinking abilities, numerous educators have explored alternative teaching methods. While meta-analyses have confirmed that various approaches are ...
Abstract: Satellite Mobile Edge Computing (MEC) networks offer a promising solution for delivering global services to terrestrial Internet of Things (IoT) terminals in 5 G and beyond. However, ...
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results