Stefan Sylvius Wagner — accepted AI-conference papers

2025

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions

Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

ICLR 2025spotlight

Stance detection holds great potential to improve online political discussions through its deployment in discussion platforms for purposes such as content moderation, topic summarisation or to facilitate more balanced discussions. Typically, transformer-based models are employed directly for stance…

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2024

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations

Stefan Sylvius Wagner, Stefan Harmeling

ICML 2024poster

In this paper we adopt a representation-centric perspective on exploration in reinforcement learning, viewing exploration fundamentally as a density estimation problem. We investigate the effectiveness of clustering representations for exploration in 3-D environments, based on the observation that t…

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