Analyzing Human and ChatGPT Responses: A Comparative Study of Transformer Models in Natural Language Processing
| dc.contributor.author | Gokcimen, Tunahan | |
| dc.contributor.author | Das, Bihter | |
| dc.date.accessioned | 2026-08-12T16:09:00Z | |
| dc.date.issued | 2023 | |
| dc.department | Fırat Üniversitesi | |
| dc.description | 4th International Informatics and Software Engineering Conference, IISEC 2023 -- 21 December 2023 through 22 December 2023 -- Ankara -- 196814 | |
| dc.description.abstract | With the latest developments in artificial intelligence, language models have reached the level that can produce human-like responses. One of the most successful examples of these technologies is the GPT-3 language model developed by OpenAI. This study aims to investigate how similar human responses and artificial intelligence responses are, and which transformer model performs best. In the study, a series of questions were answered using different transformer-based models and compared with the answers given by humans. The highest performance was obtained with the roberta-base-openai-detector model. This study provides researchers with a different perspective to understand the difference between artificial intelligence technologies and human responses. © 2023 IEEE. | |
| dc.description.sponsorship | Arçelik Digital Transformation, Big Data and Artificial Intelligence R&D Center; Ministry of Science, Technology and Industry, (AR-22-087-0001) | |
| dc.identifier.doi | 10.1109/IISEC59749.2023.10391042 | |
| dc.identifier.isbn | 979-835031803-6 | |
| dc.identifier.scopus | 2-s2.0-85184660153 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/IISEC59749.2023.10391042 | |
| dc.identifier.uri | https://hdl.handle.net/11508/41534 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 4th International Informatics and Software Engineering Conference - Symposium Program, IISEC 2023 | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20260511 | |
| dc.subject | ChatGPT; Human-like responses; NLP; OpenAI; transformer-based models | |
| dc.title | Analyzing Human and ChatGPT Responses: A Comparative Study of Transformer Models in Natural Language Processing | |
| dc.type | Conference Object |







