GTAlign: Game-Theoretic Alignment of LLM Assistants for Social Welfare

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Siqi, Zhang, David, Cisneros-Velarde, Pedro, You, Jiaxuan
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Science and Game Theory Human-Computer Interaction Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas
by: Mu, Chunjiang, et al.
Published: (2024)

Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems
by: Mumcu, Furkan, et al.
Published: (2026)

A Computable Game-Theoretic Framework for Multi-Agent Theory of Mind
by: Zhu, Fengming, et al.
Published: (2025)

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
by: Gemp, Ian, et al.
Published: (2024)

Exploring Welfare Maximization and Fairness in Participatory Budgeting
by: Sreedurga, Gogulapati
Published: (2024)

Expectation vs. Reality: Towards Verification of Psychological Games
by: Kwiatkowska, Marta, et al.
Published: (2024)

Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory
by: Dai, Gordon, et al.
Published: (2024)

Human-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach
by: Borghoff, Uwe M., et al.
Published: (2025)

Characterising Interventions in Causal Games
by: Mishra, Manuj, et al.
Published: (2024)

Cooperation and Control in Delegation Games
by: Sourbut, Oliver, et al.
Published: (2024)

GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment
by: Ying, Lance, et al.
Published: (2024)

Approximate State Abstraction for Markov Games
by: Ishibashi, Hiroki, et al.
Published: (2024)

The Partially Observable Off-Switch Game
by: Garber, Andrew, et al.
Published: (2024)

MR-LDM -- The Merge-Reactive Longitudinal Decision Model: Game Theoretic Human Decision Modeling for Interactive Sim Agents
by: Holley, Dustin, et al.
Published: (2025)

A Graph-Theoretical Perspective on Law Design for Multiagent Systems
by: Shi, Qi, et al.
Published: (2025)

Emergent Cooperation under Uncertain Incentive Alignment
by: Orzan, Nicole, et al.
Published: (2024)

Game-Theoretic Lens on LLM-based Multi-Agent Systems
by: Hao, Jianing, et al.
Published: (2026)

Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria
by: Hu, Die, et al.
Published: (2025)

Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
by: Li, Pengdeng, et al.
Published: (2024)

Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
by: Orzan, Nicole, et al.
Published: (2024)

Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation
by: Ataei, Mohammadmehdi, et al.
Published: (2024)

Quadratic Programming Approach for Nash Equilibrium Computation in Multiplayer Imperfect-Information Games
by: Ganzfried, Sam
Published: (2025)

DialogGuard: Multi-Agent Psychosocial Safety Evaluation of Sensitive LLM Responses
by: Luo, Han, et al.
Published: (2025)

Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles
by: Liu, Yingzhuo, et al.
Published: (2025)

Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
by: De La Fuente, Neil, et al.
Published: (2024)

Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
by: Ji, Mengda, et al.
Published: (2025)

AI, Pluralism, and (Social) Compensation
by: Swaminathan, Nandhini, et al.
Published: (2024)

AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot
by: Wang, Xiao, et al.
Published: (2025)

Intelligent Co-Design: An Interactive LLM Framework for Interior Spatial Design via Multi-Modal Agents
by: Lim, Ren Jian, et al.
Published: (2026)

Welfare and Fairness in Multi-objective Reinforcement Learning
by: Fan, Zimeng, et al.
Published: (2022)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
by: Li, Zun, et al.
Published: (2023)

Game-theoretic LLM: Agent Workflow for Negotiation Games
by: Hua, Wenyue, et al.
Published: (2024)

Toward Generalized Autonomous Agents: A Neuro-Symbolic AI Framework for Integrating Social and Technical Support in Education
by: Hare, Ryan, et al.
Published: (2025)

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots
by: Zhang, Shiquan, et al.
Published: (2026)

Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task
by: Zhang, Shao, et al.
Published: (2024)

Cooperation Breakdown in LLM Agents Under Communication Delays
by: Nishimoto, Keita, et al.
Published: (2026)

How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm
by: Hishiki, Taisei, et al.
Published: (2026)

Evaluating Agents using Social Choice Theory
by: Lanctot, Marc, et al.
Published: (2023)

Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth
by: Zhang, Yichi, et al.
Published: (2025)

Hybrid Human-Agent Social Dilemmas in Energy Markets
by: Perera, Isuri, et al.
Published: (2026)