Can we detect ChatGPT-generated texts in Czech and Slovak languages?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00132775" target="_blank" >RIV/00216224:14330/23:00132775 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Can we detect ChatGPT-generated texts in Czech and Slovak languages?

Popis výsledku v původním jazyce

The wide availability of generative AI exacerbates existing threats to society. It would not be easy even for linguists to tell whether the text we are reading was generated by a Large Language Model (LLM) or written by a human. Researchers have started developing tools that detect AI-generated content. This paper tested how two of these tools, Compilatio and GPT-2 Output Detector, performed with Czech, Slovak and English texts. There was only one tool somewhat capable of detecting AI-generated texts: Compilatio. Other tools were designed to work only with English texts. Hence, we also tested whether automatically translating the Czech and Slovak texts to English before uploading them to the detectors would have given any promising results. Ultimately, we showed that the texts generated by ChatGPT4 were less detectable than the texts generated by ChatGPT3.5.

Název v anglickém jazyce

Can we detect ChatGPT-generated texts in Czech and Slovak languages?

Popis výsledku anglicky

The wide availability of generative AI exacerbates existing threats to society. It would not be easy even for linguists to tell whether the text we are reading was generated by a Large Language Model (LLM) or written by a human. Researchers have started developing tools that detect AI-generated content. This paper tested how two of these tools, Compilatio and GPT-2 Output Detector, performed with Czech, Slovak and English texts. There was only one tool somewhat capable of detecting AI-generated texts: Compilatio. Other tools were designed to work only with English texts. Hence, we also tested whether automatically translating the Czech and Slovak texts to English before uploading them to the detectors would have given any promising results. Ultimately, we showed that the texts generated by ChatGPT4 were less detectable than the texts generated by ChatGPT3.5.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023

ISBN

9788026317937

ISSN

2336-4289

e-ISSN

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Počet stran výsledku

9

Strana od-do

35-43

Název nakladatele

Tribun EU

Místo vydání

Brno

Místo konání akce

Kouty nad Desnou

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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