Content creation has been revolutionized by advanced natural language generation (NLG) models but... more Content creation has been revolutionized by advanced natural language generation (NLG) models but this also poses a challenge in differentiating AI-written and human-written texts. AI Humanizers have been designed to modify AI-written content into more natural, human-like words which are also contextually appropriate. This paper explores the techniques used by these humanizers to achieve content that seems human-written, often rendering AI detectors ineffective. Methods such as lexical substitution, sentence restructuring sentiment adjustment, etc. This paper aims to give a deep understanding of how AI humanizers function.
Content creation has been revolutionized by advanced natural language generation (NLG) models but... more Content creation has been revolutionized by advanced natural language generation (NLG) models but this also poses a challenge in differentiating AI-written and human-written texts. AI Humanizers have been designed to modify AI-written content into more natural, human-like words which are also contextually appropriate. This paper explores the techniques used by these humanizers to achieve content that seems human-written, often rendering AI detectors ineffective. Methods such as lexical substitution, sentence restructuring sentiment adjustment, etc. This paper aims to give a deep understanding of how AI humanizers function.
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Papers by Riju Marwah