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

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

26 June 2024
Zachary R. Baker
Zarif L. Azher
ArXiv (abs)PDFHTMLGithub

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

5 / 5 papers shown
PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
Zhaowei Zhang
Minghua Yi
Minghua Yi
Mengmeng Wang
Fengshuo Bai
Zilong Zheng
Yipeng Kang
Yaodong Yang
359
1
0
26 May 2025
Agent-Enhanced Large Language Models for Researching Political Institutions
Agent-Enhanced Large Language Models for Researching Political InstitutionsJournal of Political Institutions and Political Economy (JPIPE), 2025
Joseph R. Loffredo
Suyeol Yun
LLMAG
291
0
0
14 Mar 2025
Artificial Utopia: Simulation and Intelligent Agents for a Democratised Future
Artificial Utopia: Simulation and Intelligent Agents for a Democratised Future
Yannick Oswald
AI4CE
415
0
0
10 Mar 2025
From Individual to Society: A Survey on Social Simulation Driven by
  Large Language Model-based Agents
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
Xinyi Mou
Xuanwen Ding
Qi He
Liang Wang
Jingcong Liang
...
Lin Sun
Jiayu Lin
Jie Zhou
Xuanjing Huang
Zhongyu Wei
LLMAGLM&RoAI4CE
486
67
0
04 Dec 2024
Social Science Meets LLMs: How Reliable Are Large Language Models in
  Social Simulations?
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
Yue Huang
Zhengqing Yuan
Yujun Zhou
Kehan Guo
Xiangqi Wang
...
Weixiang Sun
Lichao Sun
Jindong Wang
Yanfang Ye
Wei Wei
LLMAG
201
32
0
30 Oct 2024
1
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