RESEARCH · RESEARCH PAPER · 2025
Personality-Aware Large Language Models: Mathematical Framework for Cross-Domain Behavioral Prediction
ABSTRACT
A mathematical framework for modelling stable personality dimensions in large language models, and for predicting how behaviour measured in one domain carries into domains the model was not evaluated in.
This paper underpins how we think about consistency in Alma: if personality-level behaviour transfers predictably across domains, safety can be designed once and trusted broadly rather than re-evaluated task by task.
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CITE
Isaac Usifo (2025). Personality-Aware Large Language Models: Mathematical Framework for Cross-Domain Behavioral Prediction. ResearchGate.
@article{usifo2025,
title = {Personality-Aware Large Language Models: Mathematical Framework for Cross-Domain Behavioral Prediction},
author = {Isaac Usifo},
year = {2025},
note = {ResearchGate}
}