output
20232025
most citedDisinformation Capabilities of Large Language Models

27 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 1 cited

Soft Language Prompts for Language Transfer

Ivan Vykopal, Simon Ostermann, Marián Šimko

Cross-lingual knowledge transfer, especially between high- and low-resource languages, remains challenging in natural language processing (NLP). This study offers insights for impr…

physics.med-ph2024

Comparing the physical characteristics of ultrasound and magnetic resonance imaging to diagnose ovarian cysts

Tariq Nadhim Jassim, Rasha Tahseen Ibrahim, Mohsen Hamoud Jasim +3

Background, For the purpose of determining the appropriate course of therapy to maintain fertility, a correct diagnosis of ovarian cysts is crucial. Objective, To contrast the resu…

cs.CL2024★ 1 cited

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices

Branislav Pecher, Ivan Srba, Maria Bielikova

While learning with limited labelled data can improve performance when the labels are lacking, it is also sensitive to the effects of uncontrolled randomness introduced by so-calle…

cs.CL2024★ 6 cited

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Dominik Macko, Robert Moro, Adaku Uchendu +7

High-quality text generation capability of recent Large Language Models (LLMs) causes concerns about their misuse (e.g., in massive generation/spread of disinformation). Machine-ge…

cs.CL2024★ 6 cited

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Jan Cegin, Branislav Pecher, Jakub Simko +3

The latest generative large language models (LLMs) have found their application in data augmentation tasks, where small numbers of text samples are LLM-paraphrased and then used to…