Booth 21-25 | AI Data Management Zone | Tokyo Big Sight
A practical post. The GitHub repo LLM4Annotation (Zhen-Tan-dmml/LLM4Annotation) is a curated, updated list of papers and tools at the intersection of LLMs and data annotation. If you work in this
Researchers built a study to answer a question that sounds simple: can people tell whether a scientific abstract was written by an LLM or a human? The answer, for people with machine-learning expertise, was mostly: no. This result is interesting on its own. The implications for how we build annotation
