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Addison J. Wu

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#artificial intelligence Preprint Sep 2026

How does Adversarial Influence Scale in Multi-Agent Systems?

It is shown that adding more agents is not a sufficient defense, because the adversary can simply scale with the group, and that allowing deceivers to coordinate privately can make them less effective.

Addison J. Wu, Jasin Cekinmez, Michel Liao et al. · 0 citations
#artificial intelligence Preprint Jul 2026

SportD: How do VLMs physically strategize?

SportD opens a new direction for rigorously evaluating physical strategic decision-making in VLMs, showing that careful decomposition of their choices can reveal the mechanisms underlying systematic biases such as risk aversion.

Jasin Cekinmez, Addison J. Wu, Hao-Tian Xia et al. · 0 citations

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