2 papers
cs.CL2026
Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts
Arthur Wuhrmann, Gaetan Stein, Daniel Brunner +1
While the wider applicability of LLMs in the legal field is currently debated due to their reliability and the gravity of any errors, narrow uses with well-understood and mitigated…
cs.CL2025
Low-Perplexity LLM-Generated Sequences and Where To Find Them
Arthur Wuhrmann, Anastasiia Kucherenko, Andrei Kucharavy
As Large Language Models (LLMs) become increasingly widespread, understanding how specific training data shapes their outputs is crucial for transparency, accountability, privacy,…