Author

Davide Baldelli

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#artificial intelligence Preprint Oct 2026

Cross-Model In-Context Neurofeedback Reveals (Limited) Activation Control in LLMs

Probes on activation vectors are widely used to detect misbehavior in language models, but their success relies on the assumption that models cannot control what their activations encode. Humans can learn, through neurofeedback, to control the firing of even single neurons, and recent studies investigated whether this...

Davide Baldelli, Robyn Kozierok, Mirko Bronzi et al. · 0 citations

#natural language process... Jan 2026

LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language Agents

A novel architecture incorporating an explicit private working memory is proposed and it is demonstrated that this mechanism restores consistency with a fixed hidden state, establishing private state as a necessary component for PSIT-capable language agents.

Davide Baldelli, Alipanah Parviz, A. Zouaq et al. · arXiv.org · 2 citations