4 papers
Evaluating OpenAI GPT Models for Translation of Endangered Uralic Languages: A Comparison of Reasoning and Non-Reasoning Architectures
Yehor Tereshchenko, Mika Hämäläinen, Svitlana Myroniuk
The evaluation of Large Language Models (LLMs) for translation tasks has primarily focused on high-resource languages, leaving a significant gap in understanding their performance…
ORACLE: Time-Dependent Recursive Summary Graphs for Foresight on News Data Using LLMs
Lev Kharlashkin, Eiaki Morooka, Yehor Tereshchenko +1
ORACLE turns daily news into week-over-week, decision-ready insights for one of the Finnish University of Applied Sciences. The platform crawls and versions news, applies Universit…
Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
Yehor Tereshchenko, Mika Hämäläinen
This paper presents a comprehensive comparative analysis of Natural Language Processing (NLP) methods for automated toxicity detection in online gaming chats. Traditional machine l…
A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient
Yehor Tereshchenko, Mika Hämäläinen
Artificial Intelligence (AI) and Large Language Models (LLMs) have rapidly evolved in recent years, showcasing remarkable capabilities in natural language understanding and generat…