9 citations · 16 across the 8 of their papers we have counts for
8 papers
Assessing Web Search Credibility and Response Groundedness in Chat Assistants
Ivan Vykopal, Matúš Pikuliak, Simon Ostermann +1
Chat assistants increasingly integrate web search functionality, enabling them to retrieve and cite external sources. While this promises more reliable answers, it also raises the…
Generative Large Language Models in Automated Fact-Checking: A Survey
Ivan Vykopal, Matúš Pikuliak, Simon Ostermann +1
The rapid spread of false and misleading information on online platforms poses a growing societal challenge, overwhelming the capacity of manual fact-checking and increasing the de…
Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling
Matúš Pikuliak, Andrea Hrckova, Stefan Oresko +1
We present GEST -- a new manually created dataset designed to measure gender-stereotypical reasoning in language models and machine translation systems. GEST contains samples for 1…
In-Depth Look at Word Filling Societal Bias Measures
Matúš Pikuliak, Ivana Beňová, Viktor Bachratý
Many measures of societal bias in language models have been proposed in recent years. A popular approach is to use a set of word filling prompts to evaluate the behavior of the lan…
Average Is Not Enough: Caveats of Multilingual Evaluation
Matúš Pikuliak, Marián Šimko
This position paper discusses the problem of multilingual evaluation. Using simple statistics, such as average language performance, might inject linguistic biases in favor of domi…
SlovakBERT: Slovak Masked Language Model
Matúš Pikuliak, Štefan Grivalský, Martin Konôpka +7
We introduce a new Slovak masked language model called SlovakBERT. This is to our best knowledge the first paper discussing Slovak transformers-based language models. We evaluate o…
Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective
Ivan Srba, Gabriele Lenzini, Matus Pikuliak +1
From a computer science perspective, addressing on-line hate speech is a challenging task that is attracting the attention of both industry (mainly social media platform owners) an…
Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec, Matúš Pikuliak, Marián Šimko +1
Growing amount of comments make online discussions difficult to moderate by human moderators only. Antisocial behavior is a common occurrence that often discourages other users fro…