1 citations · 1 across the 3 of their papers we have counts for
3 papers
Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results
Benjamin Kohler, David Zollikofer, Johanna Einsiedler +2
Recent work has used LLM agents to reproduce empirical social science results with access to both the data and code. We broaden this scope by asking: Can they reproduce results giv…
Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning
David Zollikofer, Béni Egressy, Frederik Benzing +2
Several self-supervised learning (SSL) approaches have shown that redundancy reduction in the feature embedding space is an effective tool for representation learning. However, the…
Synthetic Cancer -- Augmenting Worms with LLMs
Benjamin Zimmerman, David Zollikofer
With increasingly sophisticated large language models (LLMs), the potential for abuse rises drastically. As a submission to the Swiss AI Safety Prize, we present a novel type of me…