Against the misuse (eg, plagiarism or spreading misinformation) of Large Language Models
(LLMs), many recent works have presented LLM-generated-text detectors with promising …

Large Language Models (LLMs) have achieved human-level fluency in text generation,
making it difficult to distinguish between human-written and LLM-generated texts. This poses …

Due to the recent improvements and wide availability of Large Language Models (LLMs),
they have posed a serious threat to academic integrity in education. Modern LLM-generated …

We introduce BUST, a comprehensive benchmark designed to evaluate detectors of texts
generated by instruction-tuned large language models (LLMs). Unlike previous benchmarks …

The emergence of large language models (LLMs), such as Generative Pre-trained
Transformer 4 (GPT-4) used by ChatGPT, has profoundly impacted the academic and …

General large language models (LLMs) such as ChatGPT have shown remarkable success,
but it has also raised concerns among people about the misuse of AI-generated texts …

The widespread use of large language models (LLMs) is increasing the demand for
methods that detect machine-generated text to prevent misuse. The goal of our study is to …

ChatGPT and other general large language models (LLMs) have achieved remarkable
success, but they have also raised concerns about the misuse of AI-generated texts. Existing …

Large language models (LLMs) can generate texts that carry the risk of various misuses,
including plagiarism, planting fake reviews on e-commerce platforms, or creating …

AI Generated Text (AIGT) detectors are developed with texts from humans and LLMs of
common tasks. Despite the diversity of plausible prompt choices, these datasets are …