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cs.AI2025
Label Indeterminacy in AI & Law
Cor Steging, Tadeusz Zbiegień
Machine learning is increasingly used in the legal domain, where it typically operates retrospectively by treating past case outcomes as ground truth. However, legal outcomes are o…
cs.CL2025★ 2 cited
Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design
Elena Musi, Nadin Kokciyan, Khalid Al-Khatib +10
In this position paper, we advocate for the development of conversational technology that is inherently designed to support and facilitate argumentative processes. We argue that, a…
cs.AI2025
Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models
Cor Steging, Silja Renooij, Bart Verheij
Generative large language models as tools in the legal domain have the potential to improve the justice system. However, the reasoning behavior of current generative models is brit…