Belief Cascades Drive Persuasion in LLM Agent Networks
This work introduces a controlled testbed for studying how goal-directed persuaders shift elicited stances in networks of LLM agents grounded in real-world ego-network topologies, and argues for evaluating multi-agent persuasion as a trajectory- and exposure-level process.
Haoyi Qiu, Genglin Liu, P. Venkit et al.
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