Zizhuang Deng

HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection

To prevent misinformation and social issues arising from trustworthy-looking content generated by LLMs, it is crucial to develop efficient and reliable methods for identifying the source of texts. Previous approaches have demonstrated exceptional performance in detecting texts fully generated by LLM