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cs.AI2026
Double Rectified Linear Unit-based Modular Semantics for Quantitative Bipolar Argumentation Framework
Gianvincenzo Alfano, Sergio Greco, Lucio La Cava +2
Quantitative Bipolar Argumentation Frameworks (QBAFs) provide an alternative approach to computing argument acceptability in Bipolar Argumentation Frameworks (BAFs). Each argument…
cs.AI2026
LLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about Debates
Gianvincenzo Alfano, Sergio Greco, Lucio La Cava +2
Large Language Models (LLMs) achieve strong performance in analyzing and generating text, yet they struggle with explicit, transparent, and verifiable reasoning over complex texts…
cs.AI2025
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Lucio La Cava, Andrea Tagarelli
The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has led to a closer connection between NLP and human psychology. Scholars have been studying the inh…