Presentations at the KES 2024 conference

During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), Dr. Włodzimierz Lewoniewski presented a paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and a paper entitled “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.

OpenFact at CLEF 2024

On September 9-12, 2024, scientists from the Department of Information Systems presented their works at the CLEF 2024 conference, which took place in Grenoble (France). This was the 25th edition of the CLEF (Conference and Labs of the Evaluation Forum), a key event in the field of information and language technologies, focusing on the evaluation of information systems. Thanks to a variety of test tasks, participants can compare and improve … Read More

Combining recommender systems and language models in early detection of signs of anorexia

An article by our scientists entitled “Combining Recommender Systems and Language Models in Early Detection of Signs of Anorexia” has been published in open access. The work describes the approach that obtained the best result according to the ERDE metric in the international competition for early risk prediction on the Internet – eRisk 2024. Authors of the work: Oskar Riewe-Perła and Prof. Agata Filipowska.

Continued achievements in the global information verification competition

In 2024, scientists from the Department of Information Systems participated for the second time in the CheckThat! competition, part of the international CLEF conference, focused on identifying check-worthy texts. Leveraging transformer-based language models and cross-linguistic transfer learning techniques, the team secured two second-place rankings for English and Arabic submissions.

Combining multiple attack methods for effective adversarial text generation

An article by our scientists entitled “OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation” has been published in open access. The paper describes the approach that won first place in an international competition in the area of ​​information credibility.

Participation in an international competition in the area of analysis of multi-author writing style

Scientists from the Department of Information Systems took part in an international competition for the analysis of multi-author writing style – PAN 2024. PAN is a series of scientific events related to stylometric analysis and forensic linguistics, organized during the CLEF 2024 conference. The competition task was to detect places where the author changes in a text written by several authors.