35 citations · 59 across the 13 of their papers we have counts for
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cs.CL2026
Probing Persona-Dependent Preferences in Language Models
Oscar Gilg, Pierre Beckmann, Daniel Paleka +1
Large language models (LLMs) can be said to have preferences: they reliably pick certain tasks and outputs over others, and preferences shaped by post-training and prompting appear…
cs.CL2026
Where is the Mind? Persona Vectors and LLM Individuation
Pierre Beckmann, Patrick Butlin
The individuation problem for large language models asks which entities associated with them, if any, should be identified as minds. We approach this problem through mechanistic in…