Reto Gubelmann

Reto Gubelmann is a postdoctoral researcher at the Text Technologies department within the University of Zurich's Digital Society Initiative (DSI). His work bridges computational linguistics, legal informatics, and philosophical analysis, focusing on large language models (LLMs) in normative contexts.

His research explores pragmatic reasoning, argumentation theory, and the philosophical limitations of LLMs, particularly in understanding legal and ethical frameworks. Recent publications analyze LLMs' handling of negation, speech acts, and natural language inference through empirical and theoretical lenses.

Key trends in his work include the dialectical shift in computational argumentation, symbol grounding in AI, and the epistemological foundations of neural language models. His interdisciplinary approach connects machine learning with philosophy of language and legal reasoning.