8 citations · 10 across the 4 of their papers we have counts for
4 papers
AQuA -- Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs
Maike Behrendt, Stefan Sylvius Wagner, Marc Ziegele +4
Measuring the quality of contributions in political online discussions is crucial in deliberation research and computer science. Research has identified various indicators to asses…
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele +1
Stance detection is an important task for many applications that analyse or support online political discussions. Common approaches include fine-tuning transformer based models. Ho…
Cyclophobic Reinforcement Learning
Stefan Sylvius Wagner, Peter Arndt, Jan Robine +1
In environments with sparse rewards, finding a good inductive bias for exploration is crucial to the agent's success. However, there are two competing goals: novelty search and sys…
A Survey on Self-Supervised Representation Learning
Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner +5
Learning meaningful representations is at the heart of many tasks in the field of modern machine learning. Recently, a lot of methods were introduced that allow learning of image r…