collaborators

19 papers

cs.AI2026

Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems

Pengyi Jiang, Xiaoguang Zhu, Quanyan Zhu

Contribution attribution has become a central problem in LLM-based multi-agent systems, where final outputs are produced through multiple agents, message exchanges, and ordered wor…

eess.SY2026

Divergence-based Safety Measure for Large Language Models via Rational Inattention

Anh Tung Nguyen, Quanyan Zhu

This paper proposes a divergence-based safety measure for large language models (LLMs) under embedding-input attacks. The proposed measure quantifies the worst-case Kullback--Leibl…

cs.GT2026

Exit-and-Join Dynamics and Equilibrium in Continuum Cooperative Games

Quanyan Zhu

This paper develops a continuum theory of exit-and-join coalition dynamics in nonatomic cooperative games. We extend the Aumann-Shapley value and the Aumann-Drèze value to coalitio…

cs.GT2026

Multiscale Exit-Join Dynamics: Tactical Consensus and Strategic Coalition Formation

Quanyan Zhu

This paper develops a multiscale model of coalition formation in which strategic exit-and-join decisions are coupled with tactical consensus dynamics inside coalitions. Coalition v…

cs.AI2026

Exit-and-Join Dynamics for Decentralized Coalition Formation

Quanyan Zhu

This paper studies coalition formation as a decentralized dynamical process driven by unilateral exit-and-join decisions. Agents evaluate local moves using the Aumann-Dreze value,…

stat.OT2026

A Variational Framework for LLM Generator-Regulator Games

Quanyan Zhu

This paper develops a variational framework for regulated language generation. Starting from autoregressive token sampling, we derive the induced distribution over complete message…