Open-weight large language models are increasingly used in
education, hiring, and information-seeking contexts that
touch neurodivergent people, yet we lack a clear empirical
map of how their portrayals of neurodiversity shift under
everyday prompt variation. We present a multi-condition,
multi-model audit of LLM portr...
Carlos Toxtli, M. Delaflor· Proceedings of the AAAI/ACM...· 0 citations
Effective human-agent cooperation requires that users form mental models of an agent’s behavioral tendencies. Yet LLM-based virtual agents are inherently stochastic, undermining the behavioral consistency that mental model formation depends on. We introduce the Constraint-Entropy Tradeoff (CET) model, an information-th...
Carlos Toxtli, M. Delaflor· Proceedings of the 26th ACM...· 0 citations
Evaluating a diverse panel of contemporary models under three administration protocols, it is shown that a naive harness, with a fixed token budget and an unaudited parser, manufactures failing workers out of competent ones, misreading a model that answers essentially every item correctly as badly inaccurate, answer-bi...
Carlos Toxtli, M. Delaflor· Proceedings of the 2026 ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.