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 ...

Didactic Triangle, Teacher, Learner, Content, Industry-Driven Curriculum, Employability, Needs Analysis, Course Design, Teacher Training Raddaoui, A. (2026) From Didactic Triangle to Pedagogical ...

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: ...

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 ...

In this article, we take a look at how the robots see the world around them, what it takes to train them for deployment, and ...