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cs.CL2026
The role of System 1 and System 2 semantic memory structure in human and LLM biases
Katherine Abramski, Giulio Rossetti, Massimo Stella
Implicit biases in both humans and large language models (LLMs) pose significant societal risks. Dual process theories propose that biases arise primarily from associative System 1…
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.CL2024
The "LLM World of Words" English free association norms generated by large language models
Katherine Abramski, Riccardo Improta, Giulio Rossetti +1
Free associations have been extensively used in cognitive psychology and linguistics for studying how conceptual knowledge is organized. Recently, the potential of applying a simil…