Papers by Segun Aroyehun
Linguistic and Embedding-Based Profiling of Texts Generated by Humans and Large Language Models (2025.emnlp-main)
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| Challenge: | Recent studies have focused on using LLMs to classify text as either human-written or machine-generated . |
| Approach: | They characterize human-written and machine-generated texts using a set of linguistic features across different linguistic levels such as morphology, syntax, and semantics. |
| Outcome: | The proposed model reveals that human-written texts exhibit simpler syntactic structures and more diverse semantic content. |