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Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs
Feb. 19, 2024, 5:47 a.m. | Zae Myung Kim, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Dongyeop Kang
cs.CL updates on arXiv.org arxiv.org
Abstract: With the advent of large language models (LLM), the line between human-crafted and machine-generated texts has become increasingly blurred. This paper delves into the inquiry of identifying discernible and unique linguistic properties in texts that were written by humans, particularly uncovering the underlying discourse structures of texts beyond their surface structures. Introducing a novel methodology, we leverage hierarchical parse trees and recursive hypergraphs to unveil distinctive discourse patterns in texts produced by both LLMs and …
abstract arxiv become cs.cl discourse generated human humans language language models large language large language models line llm machine paper threads through type
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