Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship

Fuente: arXiv

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Bibliographic Details
Main Authors:	Baker, Zachary R., Azher, Zarif L.
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2406.18702