MGTBench: Benchmarking Machine-Generated Text Detection. (arXiv:2303.14822v2 [cs.CR] UPDATED)

Nowadays large language models (LLMs) have shown revolutionary power in a
variety of natural language processing (NLP) tasks such as text classification,
sentiment analysis, language translation, and question-answering. In this way,
detecting machine-generated texts (MGTs) is becoming increasingly important as
LLMs become more advanced and prevalent. These models can generate human-like
language that can be difficult to distinguish from text written by a human,
which raises concerns about authenticity, accountability, and potential bias.
However, existing detection methods against MGTs are …

advanced analysis classification detection generated human important language language models large llms machine natural language natural language processing nlp power question sentiment analysis text