KInIT KInIT Menu
  • About us
  • Research
  • Education
  • Careers
  • News
  • Partners
  • Contact
  • Get Involved
ensk
Search partner-logo

Home > Research > Publications

Publications

Innovative Approach to Use Large Language Models (LLM) for Continues Annotation of Disinformation

Kula, S., Kozik, R., Choraś, M. – 2025 IEEE International Conference on Data Mining Workshops, ICDMW 2025, 2025

Soft Language Prompts for Language Transfer

Vykopal, I., Ostermann, S., Simko M. – Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) – NACL 2025, 2025
Download

skLEP: A Slovak General Language Understanding Benchmark

Suppa, M., Ridzik A., Hládek, D., Javůrek, T., Ondrejová, V., Sásiková, K., Tamajka, M. and Simko, M. – Findings of the Association for Computational Linguistics: ACL 2025, 2025
Download

Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages

Gurgurov, D., Vykopal, I., van Genabith, J., Ostermann, S. – Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025
Download

CV-Probes: Studying the Interplay of Lexical and World Knowledge in Visually Grounded Verb Understanding

Benova, I., Gregor, M. and Gatt, A. – Proceedings of the Annual Meeting of the Cognitive Science Society 2025, 2025
Download

When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods

Blšták, M., Kopčan J., Suppa, M., Havran, S., Findor, A., Takac, M. and Simko, M. – Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025), 2025
Download

dfkinit2b at CheckThat! 2025: Leveraging LLMs and Ensemble of Methods for Multilingual Claim Normalization

Anikina, T., Vykopal, I., Kula, S., Chikkala, R. K., Skachkova, N., Yang, J., Solopova, V., Schmitt, V., Ostermann, S. – Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2025), 2025
Download

Large Language Models for Multilingual Previously Fact-Checked Claim Detection

Vykopal, I., Pikuliak, M., Ostermann, S., Anikina, T., Gregor, M., Šimko, M. – Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Download

o-MEGA: Optimized Methods for Explanation Generation and Analysis

Kriš, Ľ., Kopčan, J., Peng, Q., Ridzik, A., Veselý, M., Tamajka, M. – Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations., 2025
Download

Slovak Conceptual Dictionary

Blšták, M. – arXiv, 2025
Download

On Using Self-Report Studies to Analyze Language Models

Pikuliak, M. – Northern European Journal of Language Technology, 2025
Download

Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking

Beňová, I., Košecká, J., Gregor, M., Tamajka, M., Veselý, M., Šimko, M. – SOFSEM 2025: Theory and Practice of Computer Science, 2025
Download

Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case

Kozik, R., Kątek, G., Gackowska, M., Kula, S., Komorniczak, J., Ksieniewicz, P., Pawlicka, A, Pawlicki, M., Choraś, M. – Neurocomputing, 2025
Download

Multimodal and Multilingual Fact-Checked Article Retrieval

Papadopoulos, S., Beňová, I., Kula, S., Gregor, M., Karantaidis, G., Javůrek, T., Šimko, M., Papadopoulos, S. – Proceedings of the 2025 International Conference on Multimedia Retrieval (ICMR ’25), 2025
Download

Automatic Fact-checking in English and Telugu

Chikkala, R.K., Anikina, T., Skachkova, N., Vykopal, I., Agerri, R., van Genabith, J – Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages, 2025
Download

The Brittle Compass: Navigating LLM Prompt Sensitivity in Slovak Migration Media Discourse

Harvan, S., Kopčan, J., Šuppa, M., Findor, A. – Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages, 2025
Download

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval

Peng, Q., Moro, R., Gregor, M., Srba, I., Ostermann, S., Simko, M., Podrouzek, J., Mesarčík, M., Kopčan, J., Søgaard, A. – Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 2025
Download

Multilingual Political Views of Large Language Models: Identification and Steering

Gurgurov, D., Trinley, K., Vykopal, I., van Genabith, J., Ostermann, S., Zamparelli, R. – Findings of the Association for Computational Linguistics: IJCNLP-AACL 2025 (Findings), 2025
Download

On Multilingual Encoder Language Model Compression for Low-Resource Languages

Gurgurov, D., Gregor, M., van Genabith, J., Ostermann, S. – Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, 2025
Download

Assessing Web Search Credibility and Response Groundedness in Chat Assistants

Vykopal, I., Pikuliak, M., Ostermann, S., Simko, M. – Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Download

Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection

Vykopal, I., Karamolegkou, A., Kopcan, J., Peng, Q., Javurek, T., Gregor, M., Simko, M. – Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Download

Disinformation Capabilities of Large Language Models

Vykopal, I., Pikuliak, M., Srba, I., Moro, R., Macko, D., Bielikova, M. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024
Download

ChatGPT as Your n-th Annotator: Experiments in Leveraging Large Language Models for Social Science Text Annotation in Slovak Language

Endre Hamerlik, Marek Šuppa, Miroslav Blšták, Jozef Kubík, Martin Takáč, Marián Šimko, and Andrej Findor. – Proceedings of the 4th Workshop on Computational Linguistics for the Political and Social Sciences, 2024

Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling

Pikuliak, M., Hrckova, A., Oresko, S., Šimko, M. – Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Download

Multilingual Previously Fact-Checked Claim Retrieval

Pikuliak, M., Srba, I., Moro, R., Hromadka, T., Smoleň, T., Melišek, M., Vykopal, I., Simko, J., Podroužek, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023
Download

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark

Macko, D., Moro, R., Uchendu, A,, Lucas, J., Yamashita, M., Pikuliak, M., Srba, I., Le, T., Lee, D., Simko, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023
Download

Report on the Current State of Societal Biases in Slovak AI

Pikuliak, M., Oreško, Š., Burda, K., Gavorník, A., Mesarčík, M., Hrčková, A., Kottulová, J., Szapuová, M., Podroužek, J., Šimko, M. – , 2023
Download

In-Depth Look at Word Filling Societal Bias Measures

Pikuliak, M., Beňová, I., Bachratý, V. – Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Download

ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their SpreadSlovak Conceptual Dictionary

Vasilakes, J., Zhao, Z., Gregor, M., Vykopal, I., Hyben, M., Scarton, M. – Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2022
Download

Optimizing Post-hoc Explainability Algorithm for Finding Faithful and Understandable Explanations for a Combination of Model, Task and Data

Tamajka, M., Vesely, M., Simko, M. – International Joint Conferences on Artificial Intelligence Organization, 2022
Download

Why partner with KInIT

  • Help Slovakia to concentrate talents
  • Discover solutions for your problems using AI
  • Get a new perspective on your R&D&I
  • Collaborate in excellent research
  • Improve knowledge of your employees on selected topics of AI

Get involved

KInIT
  • About us
  • Research
  • Education
  • Careers
  • News
  • Partners
  • Contact
  • Get Involved

Get the latest news from KInIT

By hitting “Subscribe”, you agree that we process your personal data provided through this form on the basis of the legal basis of GPDR Art. 6 (1) letter (a) consent to the processing of personal data.You can withdraw your consent at any time. For more information please read our Privacy Policy.

  • Facebook
  • Instagram
  • LinkedIN
  • Twitter
© 2020-2024 Kempelen Institute of Intelligent Technologies. Made by Seesame
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
  • Manage options
  • Manage services
  • Manage {vendor_count} vendors
  • Read more about these purposes
View preferences
  • {title}
  • {title}
  • {title}