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Project | DisAI

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

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

In the DisAI project, the Kempelen Institute of Intelligent Technologies, DFKI, University of Copenhagen and CERTH joined forces to improve scientific excellence of KInIT in AI and language technologies to fight disinformation.

DFKI, University of Copenhagen and CERTH will be KInIT’s partners and mentors in the project focused exclusively on increasing KInIT’s scientific excellence, expertise and competences.

The R&I ecosystem of Slovakia suffers from a lack of scientific excellence and industry-academia collaboration. Gross Domestic Expenditure on R&I from the private sector in 2020 was 0.5 % of the Slovak GDP, being one of the lowest in the EU. Challenged by the lack of internationalisation, “academic inbreeding” and brain drain (second highest in EU), Slovakia continually ranks on the tail of participation and success rates in EU funding programmes.

The main objectives of the project are improving scientific excellence of KInIT in the selected areas of AI and LT, and strengthening research management and administrative skills and support for excellent research at KInIT.

We focus on disinformation combating, which we consider one of the most important societal challenges to tackle. We already have a rising research track/record and involvement in international initiatives in the area of information disorders. Strengthening KInIT’s competencies will be achieved by building its capacity in three focus areas:

  • Multilingual Language Technologies
  • Multimodal Natural Language Processing
  • Trustworthy Artificial Intelligence

Project Website

Partners

Kempelen Institute of Intelligent Technologies (KInIT)The Centre for Research & Technology, Hellas (CERTH)University of Copenhagen

Publications

All publications
  1. Only for the Unseen Languages, Say the Llamas: On the Efficacy of Language Adapters for Cross-lingual Transfer in English-centric LLMs

    Julian Alexander Ruben Schlenker; Jenny Kunz; Tatiana Anikina; Günter Neumann; Simon Ostermann

    In: Proceedings of the 63st Annual Meeting of the Association for Computational Linguistics (Student Research Workshop). ACL Student Research Workshop (ACL-IJCNLP-SRW-2025), located at ACL, July 27 - August 1, Vienna, Austria, Association for Computational Linguistics, 7/2025.
  2. Soft Language Prompts for Language Transfer

    Ivan Vykopal; Simon Ostermann; Marián Simko

    In: 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL-2025), Association for Computational Linguistics, 2025.

Funding Authorities

EU - European Union

EU - European Union