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cs.AI2026
Argumentation for Explainable and Globally Contestable Decision Support with LLMs
Adam Dejl, Matthew Williams, Francesca Toni
Large language models (LLMs) exhibit strong general capabilities, but their deployment in high-stakes domains is hindered by their opacity and unpredictability. Recent work has tak…
cs.AI2024★ 1 cited
Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)
Adam Gould, Guilherme Paulino-Passos, Seema Dadhania +2
In the pursuit of enhancing the efficacy and flexibility of interpretable, data-driven classification models, this work introduces a novel incorporation of user-defined preferences…