Imagen de Portada

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mi, Qirui, Yang, Mengyue, Yu, Xiangning, Zhao, Zhiyu, Deng, Cheng, An, Bo, Zhang, Haifeng, Chen, Xu, Wang, Jun
Formato:	Preprint
Publicado:	2025
Materias:	Multiagent Systems Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mean Field Correlated Imitation Learning
por: Zhao, Zhiyu, et al.
Publicado: (2024)

TWICE: An LLM Agent Framework for Simulating Personalized User Tweeting Behavior with Long-term Temporal Features
por: Jin, Bingrui, et al.
Publicado: (2025)

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
por: Hu, Anran, et al.
Publicado: (2024)

Vairiational Stochastic Games
por: Zhao, Zhiyu, et al.
Publicado: (2025)

From Agent Simulation to Social Simulator: A Comprehensive Review (Part 2)
por: Xue, Xiao, et al.
Publicado: (2026)

Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games
por: Mi, Qirui, et al.
Publicado: (2024)

Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions and Online Opponent Modeling
por: Jeloka, Bhavini, et al.
Publicado: (2025)

Secure Forgetting: A Framework for Privacy-Driven Unlearning in Large Language Model (LLM)-Based Agents
por: Ye, Dayong, et al.
Publicado: (2026)

Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner
por: Meng, Kechen, et al.
Publicado: (2025)

APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents
por: Zheng, Quan, et al.
Publicado: (2026)

Networked Communication for Decentralised Cooperative Agents in Mean-Field Control
por: Benjamin, Patrick, et al.
Publicado: (2025)

Hierarchical Decision-Making in Population Games
por: Chen, Yu-Wen, et al.
Publicado: (2025)

Mean-Field Bayesian Optimisation
por: Steinberg, Petar, et al.
Publicado: (2025)

Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective
por: Barreiro-Gomez, Julian, et al.
Publicado: (2025)

DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
por: Zhang, Zhuohui, et al.
Publicado: (2026)

Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation
por: Jiang, Jiuyun, et al.
Publicado: (2026)

LLM-based Multi-Agent System for Simulating Strategic and Goal-Oriented Data Marketplaces
por: Sashihara, Jun, et al.
Publicado: (2025)

Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives
por: Ko, Changgeon, et al.
Publicado: (2026)

TEAM-SimHRA: A Team-Based Simulation Framework for Human Reliability Analysis Using Multi-Agent Large Language Models
por: Xiao, Xingyu, et al.
Publicado: (2026)

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash
por: Hejabi, Parsa, et al.
Publicado: (2024)

Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
por: Kong, Aijing, et al.
Publicado: (2025)

Simulating Multi-Stakeholder Decision-Making with Generative Agents in Urban Planning
por: Gao, Jin, et al.
Publicado: (2024)

A Large Language Model for Feasible and Diverse Population Synthesis
por: Lim, Sung Yoo, et al.
Publicado: (2025)

Nature-Inspired Population-Based Evolution of Large Language Models
por: Zhang, Yiqun, et al.
Publicado: (2025)

Mean-Field Games with Constraints
por: Hu, Anran, et al.
Publicado: (2025)

Towards Fully Automated Molecular Simulations: Multi-Agent Framework for Simulation Setup and Force Field Extraction
por: Petković, Marko, et al.
Publicado: (2025)

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
por: Karten, Seth, et al.
Publicado: (2025)

GenSim: A General Social Simulation Platform with Large Language Model based Agents
por: Tang, Jiakai, et al.
Publicado: (2024)

Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents
por: Cohn, Clayton, et al.
Publicado: (2026)

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework
por: Park, Hyunjee, et al.
Publicado: (2026)

Human Machine Social Hybrid Intelligence:A Collaborative Decision Making Framework for Large Model Agent Groups and Human Experts
por: Melih, Ahmet Akkaya, et al.
Publicado: (2025)

Benchmarking Emergent Coordination in Large-Scale LLM Populations: An Evaluation Framework on the MoltBook Archive
por: Yee, Brandon, et al.
Publicado: (2026)

Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
por: Zhang, Chenyu, et al.
Publicado: (2024)

Introducing Anisotropic Fields for Enhanced Diversity in Crowd Simulation
por: Li, Yihao, et al.
Publicado: (2024)

Dynamic Strategy Adaptation in Multi-Agent Environments with Large Language Models
por: Mallampati, Shaurya, et al.
Publicado: (2025)

Robust Multi-Agent Decision-Making in Finite-Population Games
por: Park, Shinkyu, et al.
Publicado: (2025)

AssistantX: An LLM-Powered Proactive Assistant in Collaborative Human-Populated Environment
por: Sun, Nan, et al.
Publicado: (2024)

Large Population Models
por: Chopra, Ayush
Publicado: (2025)

OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents
por: Yan, Yuwei, et al.
Publicado: (2024)

Task-Aware LLM Council with Adaptive Decision Pathways for Decision Support
por: Zhu, Wei, et al.
Publicado: (2026)