3 papers
cs.AI2024
Do Large Language Models Show Biases in Causal Learning?
Maria Victoria Carro, Francisca Gauna Selasco, Denise Alejandra Mester +4
Causal learning is the cognitive process of developing the capability of making causal inferences based on available information, often guided by normative principles. This process…
cs.AI2024
Advancing Interactive Explainable AI via Belief Change Theory
Antonio Rago, Maria Vanina Martinez
As AI models become ever more complex and intertwined in humans' daily lives, greater levels of interactivity of explainable AI (XAI) methods are needed. In this paper, we propose…
cs.CL2022
Parsimonious Argument Annotations for Hate Speech Counter-narratives
Damian A. Furman, Pablo Torres, Jose A. Rodriguez +4
We present an enrichment of the Hateval corpus of hate speech tweets (Basile et. al 2019) aimed to facilitate automated counter-narrative generation. Comparably to previous work (C…