Crowdsourcing efficiently delegates tasks to crowd workers for labeling, though their varying expertise can lead to errors. A key task is estimating worker expertise to infer true labels. However, the ...

As I fall farther down the large language model (LLM) rabbit hole, I'm becoming more interested in how LLMs may be redefining not just what we know but also how we know it. These models—trained on ...

A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...

AI agent fervor has permeated the software development world. But, we’re no longer talking about a singular, all-knowing AI. Rather, emerging agentic workflows rely on multiple specialized agents ...