26 citations · 26 across the 2 of their papers we have counts for
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cs.AI2026
Tailored to you: longitudinal effects of personalising language models
Canfer Akbulut, Justine Breuch, Arianna Manzini +6
Interest in developing personalised language models is rapidly growing. While personalisation is often viewed as a mechanism to better serve diverse user needs, the effects of sust…
cs.AI2026
Architecting Trust in Artificial Epistemic Agents
Nahema Marchal, Stephanie Chan, Matija Franklin +5
Large language models increasingly function as epistemic agents -- entities that can 1) autonomously pursue epistemic goals and 2) actively shape our shared knowledge environment.…