4 citations · 7 across the 5 of their papers we have counts for
5 papers
The Veln(ia)s is in the Details: Evaluating LLM Judgment on Latvian and Lithuanian Short Answer Matching
Yevhen Kostiuk, Oxana Vitman, Łukasz Gagała +1
In this work, we address the challenge of evaluating large language models (LLMs) on the short answer matching task for Latvian and Lithuanian languages. We introduce novel dataset…
Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History
Yevhen Kostiuk, Oxana Vitman, Łukasz Gagała +1
In this work, we evaluated Lithuanian and general history knowledge of multilingual Large Language Models (LLMs) on a multiple-choice question-answering task. The models were teste…
Dialectical Behavior Therapy Approach to LLM Prompting
Oxana Vitman, Nika Amaglobeli, Paul Plachinda
Large language models demonstrated state-of-the-art results on various reasoning tasks when applying the chain-of-thought (CoT) prompting technique. CoT prompting guides the model…
Sarcasm Detection Framework Using Context, Emotion and Sentiment Features
Oxana Vitman, Yevhen Kostiuk, Grigori Sidorov +1
Sarcasm detection is an essential task that can help identify the actual sentiment in user-generated data, such as discussion forums or tweets. Sarcasm is a sophisticated form of l…
Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021
Maaz Amjad, Alisa Zhila, Grigori Sidorov +5
With the growth of social media platform influence, the effect of their misuse becomes more and more impactful. The importance of automatic detection of threatening and abusive lan…