3 papers
cs.AI2026
Peer Influence across Heterogeneous AI Models
Frida Nøhr Laustsen, Marie Haahr Petersen, Victoria Popa +4
When two AI agents disagree, who persuades whom? As multi-agent systems increasingly combine language models of different families and sizes, the answer can determine which judgmen…
cs.MA2026
Indirect tipping: a social attack surface in AI agent populations
Ariel Flint, Luca Maria Aiello, Sara M. Constantino +2
As generative AI agents are deployed at scale, safety will depend not only on technical safeguards and individual model design, but also on collective equilibria that determine how…
cs.CL2026
Failure of contextual invariance in large language models
Sagar Kumar, Ariel Flint, Luca Maria Aiello +1
Standard evaluation practices assume that large language model (LLM) outputs are stable when prompts are embedded in contextually equivalent discourses. Here, we test this assumpti…