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cs.CL2025
A word association network methodology for evaluating implicit biases in LLMs compared to humans
Katherine Abramski, Giulio Rossetti, Massimo Stella
As Large language models (LLMs) become increasingly integrated into our lives, their inherent social biases remain a pressing concern. Detecting and evaluating these biases can be…
cs.CL2025
SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks
Salvatore Citraro, Edith Haim, Alessandra Carini +3
We introduce SpreadPy as a Python library for simulating spreading activation in cognitive single-layer and multiplex networks. Our tool is designed to perform numerical simulation…