3 papers
cs.CL2026
LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification
Michael Schlee, Fabian Lukassen, Christoph Weisser
Financial text is produced and interpreted within a market environment, yet financial text classifiers almost always receive text alone. We study whether financial time series are…
cs.CL2026
LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation
Fabian Lukassen, Christoph Weisser, Michael Schlee +5
This paper introduces a novel changepoint detection framework that combines ensemble statistical methods with Large Language Models (LLMs) to enhance both detection accuracy and th…
cs.CL2026
LabelFusion: Fusing Large Language Models with Transformer Encoders for Robust Financial News Classification
Michael Schlee, Christoph Weisser, Timo Kivimäki +2
Financial news plays a central role in shaping investor sentiment and short-term dynamics in commodity markets. Many downstream financial applications, such as commodity price pred…