M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection

arXiv:2402.11175v1 Announce Type: new
Abstract: The advent of Large Language Models (LLMs) has brought an unprecedented surge in machine-generated text (MGT) across diverse channels. This raises legitimate concerns about its potential misuse and societal implications. The need to identify and differentiate such content from genuine human-generated text is critical in combating disinformation, preserving the integrity of education and scientific fields, and maintaining trust in communication. In this work, we address this problem by introducing a new benchmark involving multilingual, multi-domain …

abstract arxiv benchmark box concerns cs.cl detection disinformation diverse evaluation generated human identify language language models large language large language models llms machine misuse raises text type