most citedDifferentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features

12 citations · 12 across the 1 of their papers we have counts for

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6 papers

cs.CL202612 cited

Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features

Georgios P. Georgiou

While extensive research has focused on ChatGPT in recent years, very few studies have systematically quantified and compared linguistic features between human-written and artifici…

cs.HC2025

Capabilities of GPT-5 across critical domains: Is it the next breakthrough?

Georgios P. Georgiou

The accelerated evolution of large language models has raised questions about their comparative performance across domains of practical importance. GPT-4 by OpenAI introduced advan…

cs.AI2025

ChatGPT produces more "lazy" thinkers: Evidence of cognitive engagement decline

Georgios P. Georgiou

Despite the increasing use of large language models (LLMs) in education, concerns have emerged about their potential to reduce deep thinking and active learning. This study investi…

eess.AS2025

Enhancing nonnative speech perception and production through an AI-powered application

Georgios P. Georgiou

While research on using Artificial Intelligence (AI) through various applications to enhance foreign language pronunciation is expanding, it has primarily focused on aspects such a…

cs.AI2025

Artificial Intelligence in Pronunciation Teaching: Use and Beliefs of Foreign Language Teachers

Georgios P. Georgiou

Pronunciation instruction in foreign language classrooms has often been an overlooked area of focus. With the widespread adoption of Artificial Intelligence (AI) and its potential…

cs.CL2025

Can AI mimic the human ability to define neologisms?

Georgios P. Georgiou

One ongoing debate in linguistics is whether Artificial Intelligence (AI) can effectively mimic human performance in language-related tasks. While much research has focused on vari…