Papers by Fabian Schäfer
On the Effectiveness of Prompt-Moderated LLMs for Math Tutoring at the Tertiary Level (2025.findings-emnlp)
Copied to clipboard
Sebastian Steindl, Fabian Brunner, Nada Sissouno, Dominik Schwagerl, Florian Schöler-Niewiera, Ulrich Schäfer
| Challenge: | Large Language Models (LLMs) have been studied intensively in the context of education, yielding heterogeneous results. |
| Approach: | They conduct a three-phase study with 49 students receiving a review of the topics, solving exercises, and writing an exam. |
| Outcome: | The prompt-moderated LLMs performed better than the unmoderated model . |
Automatic Identification of COVID-19-Related Conspiracy Narratives in German Telegram Channels and Chats (2024.lrec-main)
Copied to clipboard
Philipp Heinrich, Andreas Blombach, Bao Minh Doan Dang, Leonardo Zilio, Linda Havenstein, Nathan Dykes, Stephanie Evert, Fabian Schäfer
| Challenge: | Existing methods to identify and track conspiracy narratives are difficult to track and use because of their short-lived nature. |
| Approach: | They analysed 1,000 German Telegram posts tagged with 14 fine-grained conspiracy narrative labels by three independent annotators. |
| Outcome: | The proposed methods compare well with off-the-shelf methods and human performance. |