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Matús Pikuliak

dblp:218/6950 · DBLP profile ↗
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7ranked-venue papers
5as first author
5since 2021 · last 2024
0000-0003-1353-9462ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 4 first-author · 5 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Language models and text generation · 38% Information extraction and text analysis · 23% Trustworthy machine learning · 20%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › large language model safety
disinformation generation		 0.812024
Disinformation Capabilities of Large Language Models · ACL (1) 2024
Machine learning › Trustworthy machine learning
robustness		 0.812024
Disinformation Capabilities of Large Language Models · ACL (1) 2024
Natural language and speech › Language models and text generation
machine-generated text detection		 0.712023
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark · EMNLP 2023
Natural language and speech › Information extraction and text analysis
multilingual NLP		 0.712023
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark · EMNLP 2023
Machine learning › Transfer learning and domain adaptation
cross-lingual learning		 0.312018
Cross-Lingual Learning With Distributed Representations · AAAI 2018
Machine learning › Representation and self-supervised learning › word representation
distributed representation		 0.312018
Cross-Lingual Learning With Distributed Representations · AAAI 2018
Natural language and speech › Information extraction and text analysis
fact-checking		 0.212023
Multilingual Previously Fact-Checked Claim Retrieval · EMNLP 2023

Methods — techniques the papers use, named apart from their topics

dense retrieval · 1.3cross-lingual retrieval · 1.3prompting · 0.8multilingual evaluation · 0.7benchmark construction · 0.7cross-lingual word embeddings · 0.3
YearPublicationVenuePosition
2024 Disinformation Capabilities of Large Language Models
abstract
Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Ivan Vykopal, Matús Pikuliak, Ivan Srba, Róbert Móro, Dominik Macko, Mária Bieliková
 ACL (1)2
2023 In-Depth Look at Word Filling Societal Bias Measures
abstract
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 language models.In this work, we analyze the validity of two such measures -StereoSet and CrowS-Pairs.We show that these measures produce unexpected and illogical results when appropriate control group samples are constructed.Based on this, we believe that they are problematic and using them in the future should be reconsidered.We propose a way forward with an improved testing protocol.Finally, we also introduce a new gender bias dataset for Slovak. 1
Matús Pikuliak, Ivana Benová, Viktor Bachratý
 EACL1
2023 MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
abstract
Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matúš Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Maria Bielikova. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee 0001, Jakub Simko, Mária Bieliková
 EMNLP6
2023 Multilingual Previously Fact-Checked Claim Retrieval
abstract
Matúš Pikuliak, Ivan Srba, Robert Moro, Timo Hromadka, Timotej Smoleň, Martin Melišek, Ivan Vykopal, Jakub Simko, Juraj Podroužek, Maria Bielikova. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková
 EMNLP1
2021 Cross-lingual learning for text processing: A survey
Matús Pikuliak, Marián Simko, Mária Bieliková
 Expert Syst. Appl.1
2019 Towards Combining Multitask and Multilingual Learning
Matús Pikuliak, Marián Simko, Mária Bieliková
 SOFSEM1
2018 Cross-Lingual Learning With Distributed Representations
Matús Pikuliak
 AAAI1