10 papers
A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries
Kyuri Im, Michael Färber
Interdisciplinary research is accelerating, yet scientific papers remain difficult to understand outside their home fields. We study large language model (LLM)-based simplification…
NRITYAM: Language Models Meet Art and Heritage of Dance
Punit Kumar Singh, Niladri Ghosh, Advait Joshiınst +3
Language models have become essential tools in shaping modern workflows. However, their global effectiveness hinges on a nuanced understanding of local socio-cultural contexts. To…
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs
Zhan Qu, Michael Färber
Large Language Models (LLMs) are increasingly applied to medicine, yet their adoption is limited by concerns over reliability and safety. Existing evaluations either test factual m…
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…
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…