Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

You’ve checked for understanding—now you can use this framework to understand what students’ confusion is telling you, and how you can adjust course.

True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...

The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego ...

Burleigh: Are students being equipped with a genuine understanding of math concepts or merely trained to follow steps?

Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run ...

Robust statistical reasoning is vital in the courtroom, as historical cases have shown. Take, for example, the case of Sally ...

The last 100 years of cinema have offered a slew of hilarious comedy movie, but only a rare few changed the genre, and indeed ...

The scientific community in the English-speaking world publishes its research findings using technical and scientific English ...

Translation should be more than mechanic substitution. It demands that the translator acts as a conduit, conveying the ...