12 citations · 19 across the 10 of their papers we have counts for
10 papers
Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
Stefan Pasch
Organizational efforts to utilize and operationalize artificial intelligence (AI) are often accompanied by substantial challenges, including scalability, maintenance, and coordinat…
Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
Stefan Pasch, Min Chul Cha
As AI systems become increasingly embedded in organizational workflows and consumer applications, ethical principles such as fairness, transparency, and robustness have been widely…
Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
Stefan Pasch
With the growing importance of AI governance, numerous high-level frameworks and principles have been articulated by policymakers, institutions, and expert communities to guide the…
AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals
Stefan Pasch
As large language models (LLMs) are increasingly deployed in high-stakes settings, their ability to refuse ethically sensitive prompts-such as those involving hate speech or illega…
Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products
Stefan Pasch, Sun-Young Ha
Human-AI Interaction (HAI) guidelines and design principles have become increasingly important in both industry and academia to guide the development of AI systems that align with…
LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena
Stefan Pasch
LLM safety and ethical alignment are widely discussed, but the impact of content moderation on user satisfaction remains underexplored. In particular, little is known about how use…
Multilingual De-Duplication Strategies: Applying scalable similarity search with monolingual & multilingual embedding models
Stefan Pasch, Dimitirios Petridis, Jannic Cutura
This paper addresses the deduplication of multilingual textual data using advanced NLP tools. We compare a two-step method involving translation to English followed by embedding wi…
Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction
Stefan Pasch, Dimitrios Petridis
In the context of the ACM KDF-SIGIR 2023 competition, we undertook an entity relation task on a dataset of financial entity relations called REFind. Our top-performing solution inv…
CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models
Sebastian Koch, Stefan Pasch
This paper introduces transformer-based language models to the literature measuring corporate culture from text documents. We compile a unique data set of employee reviews that wer…
StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?
Stefan Pasch, Daniel Ehnes
To answer this question, we fine-tune transformer-based language models, including BERT, on different sources of company-related text data for a classification task to predict the…