NLP for Responsible Finance: Fine-Tuning Transformer-Based Models for ESG. - Stefan Pasch; Daniel Ehnes (IEEE Big Data, 2022)

StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements? - Stefan Pasch; Daniel Ehnes (CoRR, 2022)

CultureBERT: Fine-Tuning Transformer-Based Language Models for Corporate Culture. - Sebastian Koch; Stefan Pasch (CoRR, 2022)

Breaking the U: Asymmetric U-Net for Object Recognition in Muon Tomography☆. - Jannic Cutura; Stefan Pasch (IEEE Big Data, 2023)

CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models. - Sebastian Koch; Stefan Pasch (IEEE Big Data, 2023)

Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction. - Stefan Pasch; Dimitrios Petridis (CoRR, 2023)

Text Classification with Limited Training Data: Suicide Risk Detection on Social Media. - Stefan Pasch; Jannic Cutura (IEEE Big Data, 2024)

Multilingual De-Duplication Strategies: Applying scalable similarity search with monolingual & multilingual embedding models. - Stefan Pasch; Dimitirios Petridis; Jannic Cutura (CoRR, 2024)

LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena. - Stefan Pasch (CoRR, 2025)

Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products. - Stefan Pasch; Sun-Young Ha (CoRR, 2025)

AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals. - Stefan Pasch (CoRR, 2025)

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products. - Stefan Pasch (CoRR, 2025)

Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction. - Stefan Pasch; Min Chul Cha (CoRR, 2025)