by Bhargav Solanki, Natalia Ostapuk, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux | Jan 19, 2025 | Publications, Scientific Articles
Abstract: Extreme Multi-Label Classification (XMLC) plays a pivotal role in organizing and retrieving information in largescale textual collections, by considering a very high number of potential labels for the documents. In this paper, we conduct an empirical...
by Technology Observatory | Jun 1, 2024 | Podcasts, Press, Publications, Technology Reviews, Technology Trends
This page presents the Springer book “Large Language Models in Cybersecurity – Threats, Exposure and Mitigation” published in June, 2024. Podcasts summarizing the main findings of the book are available below the table. Book ChapterUpdate...
by Ciarán Bryce, Alexandros Kalousis, Ilan Leroux, Hélène Madinier, Thomas Pasche, Octave Plancherel, Patrick Ruch | Mar 13, 2024 | Publications, Technology Reviews
The Haute Ecole de Gestion (HEG) of the Applied University of Western Switzerland (HES-SO) collaborated with the Cyber-Defence Campus on a technology monitoring project on the theme of Large Language Models and their progression, notably in relation to cyber-defence....
by André Charneca, Angelika Romanou, Ljiljana Dolamic, Alain Mermoud | Dec 22, 2023 | Podcasts
Abstract This study investigates the effectiveness of two distinct computational approaches for mapping the technological landscape by extracting company and product relations from news articles. The first approach leverages Large Language Models (LLMs), specifically...
by Maxime Würsch, Andrei Kucharavy, Dimitri Percia David, Alain Mermoud | Aug 24, 2023 | Podcasts, Publications, Scientific Articles
Abstract The cybersecurity landscape evolves rapidly and poses threats to organizations. To enhance resilience, one needs to track the latest developments and trends in the domain. For this purpose, we use large language models (LLMs) to extract relevant knowledge...
