3 citations · 4 across the 7 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.AI2026
LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
Alexis Carrillo, Salvatore Citraro, Ali Aghazhadeh Ardebili +5
Scarce longitudinal evidence examines LLMs' persuasiveness and humanness along time-evolving psychological frameworks. We introduce Talk2AI, a longitudinal framework quantifying ps…
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…