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CORDIS - EU research results
CORDIS

Improving scientific excellence and creativity in combating disinformation with artificial intelligence and language technologies

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data management plan – Version 1 (opens in new window)

The first version of the data management plan (DMP) will be prepared by M6 to outline how the research data are collected or generated and will be handled during a project, and after it is completed, describe what data will be collected/generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. The DMP is a living document: it will be updated by the end of each reporting period. DMP includes: (1) What data will be collected/generated; (2) What standards will be used; (3) What types and format of data will be created; (4) How will metadata be generated; (5) How will the data be documented; (6) What data will be exploited, shared, made open; (7) How and by whom will data be curated and preserved.

Data management plan – Version 2 (opens in new window)

The second updated version of the data management plan (DMP) will be prepared by M17 to outline how the research data is collected or generated by this point in the project and will be further handled during a project, and after it is completed, describe what data will be collected/generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Plan for dissemination and exploitation including communication – Version 1 (opens in new window)

The document will outline the initial version of the detailed planning of the dissemination and communication activities in a systematic manner, with the aim of performing actions and campaigns that reach specific groups and audiences for specific purposes. The plan will also address the exploitation and sustainability aspects, ensuring the timely promotion of the project’s outcomes and engagement of parties outside the Consortium, interested to use or adopt them.

Report on dissemination, communication and synergy activities – Version 1 (opens in new window)

The report will outline the mid-term results of dissemination and communication activities in a systematic manner listing the performed actions and campaigns that reach specific groups and audiences for specific purposes. The report will also address the exploitation and sustainability mid-term results, focusing on the outcomes of promotion of the project’s outcomes and engagement of parties outside the Consortium, interested to use or adopt them.

Ethics, innovation and IPR management plan (opens in new window)

The document will describe the planned measures for IPR management, as well as ethics and innovation management. The followed policies like the Open Science policy will be mentioned.

Replication challenge report (opens in new window)

The report will describe the organization and results of the replication challenge targeted at doctoral students. Each involved student will be assigned a mentor from the leading partners. Together they will select a scientific paper (related to the project topic) and replicate the research described therein. The process and results of individual projects' realization will also be included in the report.

Collected labelled dataset (opens in new window)

The dataset with accompanying description including labelling scheme and selected quantitative characteristics. Data collection will include several approaches, e.g., automatic content crawling, crowdsourcing or using human experts to annotate data, based on requirements for various tasks. Data collected will be used to answer research questions posed in tasks 2.2-2.4 and will be treated following the FAIR principles.

Visuals and branding materials (opens in new window)

The plan will have a description of brand identity and visuals; website including a splash page; promotional material (brochure/leaflet, poster, roll-up, slides, poster, promo video); communication materials (press releases, newsletters, and additional mass mailing, “exploitation booster materials” to our target groups/stakeholders, aiming to contribute to its use and to maximize the impact of the project; social Media (SNS) management.

Publications

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

Author(s): Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan, Qiwei Peng, Tomáš Javůrek, Michal Gregor, Marián Šimko
Published in: 2025
Publisher: Association for Computational Linguistics

o-MEGA: Optimized Methods for Explanation Generation and Analysis

Author(s): Ľuboš Kriš, Jaroslav Kopčan, Qiwei Peng, Andrej Ridzik, Marcel Veselý, Martin Tamajka
Published in: 2025
Publisher: Association for Computational Linguistics

HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization (opens in new window)

Author(s): Peng, Qiwei; Chai, Yekun; Li, Xuhong
Published in: 2024
Publisher: International Committee on Computational Linguistics
DOI: 10.48550/arXiv.2402.16694

Tokenization Falling Short: On Subword Robustness in Large Language Models (opens in new window)

Author(s): Chai, Yekun; Fang, Yewei; Peng, Qiwei; Li, Xuhong
Published in: Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2406.11687

Large Language Models for Multilingual Previously Fact-Checked Claim Detection (opens in new window)

Author(s): Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, Tatiana Anikina, Michal Gregor, Marian Simko
Published in: Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-EMNLP.852

Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling (opens in new window)

Author(s): Matúš Pikuliak, Stefan Oresko, Andrea Hrckova, Marian Simko
Published in: Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2024.FINDINGS-EMNLP.173

Concept Space Alignment in Multilingual LLMs (opens in new window)

Author(s): Peng, Qiwei; Søgaard, Anders
Published in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2410.01079

Multimodal and Multilingual Fact-Checked Article Retrieval (opens in new window)

Author(s): Stefanos-Iordanis Papadopoulos, Ivana Beňová, Sebastian Kula, Michal Gregor, George Karantaidis, Tomáš Javůrek, Marián Šimko, Symeon Papadopoulos
Published in: Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
Publisher: ACM
DOI: 10.1145/3731715.3733402

GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge (opens in new window)

Author(s): Daniil Gurgurov; Rishu Kumar; Simon Ostermann 0002
Published in: Findings of the Association for Computational Linguistics: NAACL 2025, 2025
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2409.18193

Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance (opens in new window)

Author(s): Pecher, Branislav; Srba, Ivan; Bielikova, Maria
Published in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2402.12819

Only for the Unseen Languages, Say the Llamas: On the Efficacy of Language Adapters for Cross-lingual Transfer in English-centric LLMs (opens in new window)

Author(s): Julian Schlenker, Jenny Kunz, Tatiana Anikina, Günter Neumann, Simon Ostermann
Published in: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.ACL-SRW.62

Multilingual Previously Fact-Checked Claim Retrieval (opens in new window)

Author(s): Pikuliak, Matúš; Srba, Ivan; Moro, Robert; Hromadka, Timo; Smolen, Timotej; Melisek, Martin; Vykopal, Ivan; Simko, Jakub; Podrouzek, Juraj; Bielikova, Maria
Published in: 2023
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2305.07991

A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages (opens in new window)

Author(s): Tatiana Anikina, Jan Cegin, Jakub Simko, Simon Ostermann
Published in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.EMNLP-MAIN.418

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

Author(s): Qiwei Peng, Robert Moro, Michal Gregor, Ivan Srba, Simon Ostermann, Marian Simko, Juraj Podrouzek, Matúš Mesarčík, Jaroslav Kopčan, Anders Søgaard
Published in: 2025
Publisher: Association for Computational Linguistics

Understanding Subword Compositionality of Large Language Models

Author(s): Qiwei Peng, Yekun Chai, Anders Søgaard
Published in: 2025
Publisher: Association for Computational Linguistics

Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking (opens in new window)

Author(s): Ivana Benová; Jana Kosecka; Michal Gregor; Martin Tamajka; Marcel Veselý; Marián Simko
Published in: Lecture Notes in Computer Science ISBN: 9783031826696, 2025
DOI: 10.1007/978-3-031-82670-2_7

Credible, Unreliable or Leaked?: Evidence verification for enhanced automated fact checking (opens in new window)

Author(s): Chrysidis Z.; Papadopoulos S. I.; Papadopoulos S.; Petrantonakis P.
Publisher: The Association for Computing Machinery
DOI: 10.1145/3643491.3660278

LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?

Author(s): Jan Cegin, Jakub Simko, Peter Brusilovsky
Published in: 2025
Publisher: Association for Computational Linguistics

Soft Language Prompts for Language Transfer (opens in new window)

Author(s): Ivan Vykopal; Simon Ostermann 0002; Marián Simko
Published in: 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), 2025
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2407.02317

Assessing Web Search Credibility and Response Groundedness in Chat Assistants

Author(s): Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, Marián Šimko
Published in: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2025
Publisher: Association for Computational Linguistics

skLEP: A Slovak General Language Understanding Benchmark

Author(s): Marek Suppa, Andrej Ridzik, Daniel Hládek, Tomáš Javůrek, Viktória Ondrejová, Kristína Sásiková, Martin Tamajka, Marian Simko
Published in: 2025
Publisher: Association for Computational Linguistics

Pessimistic Off-Policy Optimization for Learning to Rank (opens in new window)

Author(s): Matej Cief, Branislav Kveton, Michal Kompan
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240703

In-Depth Look at Word Filling Societal Bias Measures (opens in new window)

Author(s): Pikuliak, Matúš; Beňová, Ivana; Bachratý, Viktor
Published in: 2023
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2302.12640

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

Author(s): Daniil Gurgurov, Ivan Vykopal, Josef Van Genabith, Simon Ostermann
Published in: 2025
Publisher: Association for Computational Linguistics

On Multilingual Encoder Language Model Compression for Low-Resource Languages

Author(s): Daniil Gurgurov, Michal Gregor, Josef Van Genabith, Simon Ostermann
Published in: 2025
Publisher: Association for Computational Linguistics

Debiasing Multilingual LLMs in Cross-lingual Latent Space (opens in new window)

Author(s): Qiwei Peng, Guimin Hu, Yekun Chai, Anders Søgaard
Published in: 2025
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2508.17948

Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters (opens in new window)

Author(s): Daniil Gurgurov; Mareike Hartmann; Simon Ostermann 0002
Published in: Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024), 2024
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2407.01406

Disinformation Capabilities of Large Language Models (opens in new window)

Author(s): Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova
Published in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2024.ACL-LONG.793

CV-Probes: Studying the interplay of lexical and world knowledge in visually grounded verb understanding (opens in new window)

Author(s): Benova, Ivana; Gregor, Michal; Gatt, Albert
Published in: CoRR, 2024
Publisher: CogSci 2025
DOI: 10.48550/ARXIV.2409.01389

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices (opens in new window)

Author(s): Branislav Pecher; Ivan Srba; Mária Bieliková
Published in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2402.12817

Similarity Over Factuality: Are we Making Progress on Multimodal Out-of-Context Misinformation Detection?

Author(s): Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Panagiotis C. Petrantonakis
Published in: 2025
Publisher: IEEE/CVF

Cross-Validated Off-Policy Evaluation (opens in new window)

Author(s): Matej Cief; Branislav Kveton; Michal Kompan
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Publisher: AAAI Press
DOI: 10.48550/ARXIV.2405.15332

Average Is Not Enough: Caveats of Multilingual Evaluation (opens in new window)

Author(s): Pikuliak, Matúš; Šimko, Marián
Published in: 2023
Publisher: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2301.01269

On Training Data Influence of GPT Models (opens in new window)

Author(s): Qingyi Liu; Yekun Chai; Shuohuan Wang; Yu Sun 0004; Qiwei Peng 0002; Keze Wang; Hua Wu 0003
Published in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Publisher: EMNLP 2024
DOI: 10.48550/ARXIV.2404.07840

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

Author(s): Tatiana Anikina, Ivan Vykopal, Sebastian Kula, Ravi Kiran Chikkala, Natalia Skachkova, Jing Yang, Veronika Solopova, Vera Schmitt, Simon Ostermann
Published in: 2025
Publisher: CEUR

Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation (opens in new window)

Author(s): Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky
Published in: Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-EMNLP.296

Automatic Fact-checking in English and Telugu

Author(s): Ravikiran Chikkala, Tatiana Anikina, Natalia Skachkova, Ivan Vykopal, Rodrigo Agerri, Josef van Genabith
Published in: 2025
Publisher: INCOMA Ltd., Shoumen, Bulgaria

'Humor, Art, or Misinformation?': A Multimodal Dataset for Intent-Aware Synthetic Image Detection (opens in new window)

Author(s): Anastasios Skoularikis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos, Panagiotis C. Petrantonakis
Published in: Proceedings of the 2nd International Workshop on Diffusion of Harmful Content on Online Web, 2025
Publisher: ACM
DOI: 10.1145/3746275.3762215

Task Prompt Vectors: Effective Initialization Through Multi-task Soft Prompt Transfer (opens in new window)

Author(s): Róbert Belanec; Simon Ostermann 0002; Ivan Srba; Mária Bieliková
Published in: Lecture Notes in Computer Science ISBN 9783662722428, 2025
Publisher: Springer-Verlag
DOI: 10.48550/ARXIV.2408.01119

Multilingual Political Views of Large Language Models: Identification and Steering

Author(s): Daniil Gurgurov, Katharina Trinley, Ivan Vykopal, Josef Van Genabith, Simon Ostermann, Roberto Zamparelli
Published in: 2025
Publisher: Association for Computational Linguistics

Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation

Author(s): Daniil Gurgurov, Katharina Trinley, Yusser Al Ghussin, Tanja Baeumel, Josef Van Genabith, Simon Ostermann
Published in: 2025
Publisher: Association for Computational Linguistics

ACM Computing Surveys (opens in new window)

Author(s): Branislav Pecher; Ivan Srba; Maria Bielikova
Published in: ACM Computing Surveys, 2024, ISSN 0360-0300
Publisher: Association for Computing Machinary, Inc.
DOI: 10.48550/ARXIV.2312.01082

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