activity
20162023
most citedFundamentals of Generative Large Language Models and Perspectives in Cyber-Defense

23 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2023

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding

Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad +8

Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). This task requires high levels of awar…

cs.CL202323 cited

Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense

Andrei Kucharavy, Zachary Schillaci, Loïc Maréchal +6

Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users' expectations of i…

cs.NI20221 cited

Improving Aircraft Localization: Experiences and Lessons Learned from an Open Competition

Martin Strohmeier, Mauro Leonardi, Sergei Markochev +3

Knowledge about the exact positioning of aircraft is crucial in many settings. Consequently, the opportunistic and independent localization of aircraft based on their communication…

cs.IR20211 cited

From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach

Chi Thang Duong, Dimitri Percia David, Ljiljana Dolamic +3

Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent informati…

cs.NI20168 cited

A Localization Approach for Crowdsourced Air Traffic Communication Networks

Martin Strohmeier, Vincent Lenders, Ivan Martinovic

In this work, we argue that current state-of-the-art methods of aircraft localization such as multilateration are insufficient, in particular for modern crowdsourced air traffic ne…