7 citations · 8 across the 6 of their papers we have counts for
6 papers
The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
Vincent Gurgul, Robin Gubela, Stefan Lessmann
Generative Artificial Intelligence (GenAI) rapidly transforms software engineering, yet existing research remains fragmented across individual tasks in the Software Development Lif…
Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
Vincent Gurgul, Ying Chen, Stefan Lessmann
This paper presents a Quantum Reinforcement Learning (QRL) solution to the dynamic portfolio optimization problem based on Variational Quantum Circuits. The implemented QRL approac…
Uplift modeling with continuous treatments: A predict-then-optimize approach
Simon De Vos, Christopher Bockel-Rickermann, Stefan Lessmann +1
The goal of uplift modeling is to recommend actions that optimize specific outcomes by determining which entities should receive treatment. One common approach involves two steps:…
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
Christopher Gerling, Stefan Lessmann
This paper explores the growing impact of AI and NLP in bank marketing, highlighting their evolving roles in enhancing marketing strategies, improving customer engagement, and crea…
Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
Lukas Vöge, Vincent Gurgul, Stefan Lessmann
This paper introduces a novel approach for efficiently distilling LLMs into smaller, application-specific models, significantly reducing operational costs and manual labor. Address…
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data
Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle
We introduce novel approaches to cryptocurrency price forecasting, leveraging Machine Learning (ML) and Natural Language Processing (NLP) techniques, with a focus on Bitcoin and Et…