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 ...

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 ...

Students may associate history class with memorizing dates, but they should be learning the skills of evidence collection and ...

Abstract: The selection of pedagogically relevant vocabulary is a critical aspect of English Language Teaching (ELT), yet traditional corpus-based word lists often rely solely on frequency-based ...

Karen Stollznow does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Abstract: Embodied intelligence, as an interdisciplinary frontier that integrates artificial intelligence and robotics, relies fundamentally on robust task planning capabilities to enable autonomous ...

Bottom line: The economics of enterprise software are entering their most dramatic recalibration since the shift to the cloud. As autonomous AI agents begin to handle work once performed exclusively ...

Thor Sawin has received funding for teacher development projects through the State Department Fulbright Specialist and English Language Specialist program, as well as the US Air Force and LCC ...

This study evaluates the effectiveness of digital scenario-based English conversation teaching at the university level using Artificial Intelligence Generated Content (AIGC). This study aims to design ...

In 2022, Rafael Nadal approached the baseline and began horizontally abducting his right arm to loft a tennis ball approximately 5 feet. He abruptly contacted the inferolateral aspect of the tennis ...