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cs.AI2026
Can You Trust Your Preference Models? Stackelberg Games for Alignment
Riccardo Formenti, Aditya Agrawal, Vikas Garg
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…
cs.MA2026
Characterizing Opinion Evolution of Networked LLMs
Caleb Probine, Yigit Ege Bayiz, Filippos Fotiadis +3
Large language models (LLMs) increasingly interact with one another in multi-agent systems, from simulations of human discourse to influence operations and fully LLM-driven social…
cs.MA2026
When Should Agents Coordinate in Differentiable Sequential Decision Problems?
Caleb Probine, Su Ann Low, David Fridovich-Keil +1
Multi-robot teams must coordinate to operate effectively. When a team operates in an uncoordinated manner, and agents choose actions that are only individually optimal, the team's…