April 23, 2024, 4:50 a.m. | Hong Wang, Xuan Luo, Weizhi Wang, Xifeng Yan

cs.CL updates on arXiv.org arxiv.org

arXiv:2305.06424v3 Announce Type: replace
Abstract: Large language models like GPT-4 have recently demonstrated impressive capabilities in natural language understanding and generation, enabling various applications including translation, essay writing, and chit-chatting. However, there is a concern that they can be misused for malicious purposes, such as fraud or denial-of-service attacks. Therefore, it is crucial to develop methods for detecting whether the party involved in a conversation is a bot or a human. In this paper, we propose a framework named FLAIR, …

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