Large Language Models (LLMs) are gearing up to surpass human creativity. The veracity of the statement needs careful consideration. This paper addresses machine-generated content across several scenarios, including document-level binary and multiclass classification, sentence-level segmentation to differentiate between human and machine-generated text, and a survey of adversarial attacks aimed at reducing the detectability of machine-generated… See the full description on the dataset page:
https://huggingface.co/datasets/saiteja33/BMAS.
