2 papers
cs.CL2024
Evaluating Large Language Models for Causal Modeling
Houssam Razouk, Leonie Benischke, Georg Niess +1
In this paper, we consider the process of transforming causal domain knowledge into a representation that aligns more closely with guidelines from causal data science. To this end,…
cs.CL2024
Ensemble Watermarks for Large Language Models
Georg Niess, Roman Kern
As large language models (LLMs) reach human-like fluency, reliably distinguishing AI-generated text from human authorship becomes increasingly difficult. While watermarks already e…