Author

R. Formenti

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Preprint Oct 2026

Self-Confirming Equilibrium under Model Misspecification

We study the steady states of games played recurrently within large anonymous populations of players who receive partial ex-post feedback about the play of their opponents. Departing from the classical Bayesian account, players do not trust their conjectures as a correct description of the strategic environment but con...

R. Formenti · 0 citations

#artificial intelligence Preprint Oct 2026

Can You Trust Your Preference Models? Stackelberg Games for Alignment

Language models are frequently aligned to human preferences via imperfect evaluators whose errors can be exploited during optimization. We train policies to search for comparisons on which an evaluator may reverse the underlying preference, providing candidates for additional supervision. Since human preferences are un...

R. Formenti, Aditya Agrawal, Vikas K. Garg · 0 citations