1 citations · 2 across the 6 of their papers we have counts for
6 papers
X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting
Zhan Qu, Michael Färber
Wake vortices are strong, coherent air turbulences created by aircraft, and they pose a major safety and capacity challenge for air traffic management. Tracking how vortices move,…
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
Konrad Löhr, Shuzhou Yuan, Michael Färber
Large Language Models (LLMs) are increasingly integral to information dissemination and decision-making processes. Given their growing societal influence, understanding potential b…
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
Shuzhou Yuan, Zhan Qu, Mario Tawfelis +1
Large Language Models (LLMs) exhibit strong linguistic capabilities, but little is known about how they encode psycholinguistic knowledge across languages. We investigate whether a…
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
Zhan Qu, Shuzhou Yuan, Michael Färber
This paper presents a systematic investigation into the constrained generation capabilities of large language models (LLMs) in producing Songci, a classical Chinese poetry form cha…
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
Michael Färber, Parisa Aghdam, Kyuri Im +2
Text simplification is essential for making complex content accessible to diverse audiences who face comprehension challenges. Yet, the limited availability of simplified materials…
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
Zhan Qu, Shuzhou Yuan, Michael Färber +3
Wake vortices - strong, coherent air turbulences created by aircraft - pose a significant risk to aviation safety and therefore require accurate and reliable detection methods. In…