Imagen de Portada

Generative Social Choice: The Next Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Boehmer, Niclas, Fish, Sara, Procaccia, Ariel D.
Formato:	Preprint
Publicado:	2025
Materias:	Computer Science and Game Theory Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generative Social Choice
por: Fish, Sara, et al.
Publicado: (2023)

Clone-Robust AI Alignment
por: Procaccia, Ariel D., et al.
Publicado: (2025)

Policy Aggregation
por: Alamdari, Parand A., et al.
Publicado: (2024)

Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies
por: Assos, Angelos, et al.
Publicado: (2025)

Finding Common Ground in a Sea of Alternatives
por: Chooi, Jay, et al.
Publicado: (2026)

AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence
por: Bachmann, Paul Anton, et al.
Publicado: (2026)

Adaptive Contracts for Cost-Effective AI Delegation
por: Saig, Eden, et al.
Publicado: (2026)

Axioms for AI Alignment from Human Feedback
por: Ge, Luise, et al.
Publicado: (2024)

Strategic Classification With Externalities
por: Hossain, Safwan, et al.
Publicado: (2024)

Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments
por: Boehmer, Niclas, et al.
Publicado: (2025)

The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
por: Baharav, Carmel, et al.
Publicado: (2026)

Learning Social Welfare Functions
por: Pardeshi, Kanad Shrikar, et al.
Publicado: (2024)

Honor Among Bandits: No-Regret Learning for Online Fair Division
por: Procaccia, Ariel D., et al.
Publicado: (2024)

Worst- and Average-Case Robustness of Stable Matchings: (Counting) Complexity and Experiments
por: Boehmer, Kimon, et al.
Publicado: (2024)

Multiwinner Temporal Voting with Aversion to Change
por: Zech, Valentin, et al.
Publicado: (2024)

Routing, Cascades, and User Choice for LLMs
por: Mahmood, Rafid
Publicado: (2026)

Next-Token Prediction and Regret Minimization
por: Mohri, Mehryar, et al.
Publicado: (2026)

Metritocracy: Representative Metrics for Lite Benchmarks
por: Procaccia, Ariel, et al.
Publicado: (2025)

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
por: Shapira, Eilam, et al.
Publicado: (2023)

Strategic Candidacy in Generative AI Arenas
por: Hays, Chris, et al.
Publicado: (2026)

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
por: Zhang, Brian, et al.
Publicado: (2022)

Incentivizing Quality Text Generation via Statistical Contracts
por: Saig, Eden, et al.
Publicado: (2024)

Representative Social Choice: From Learning Theory to AI Alignment
por: Qiu, Tianyi
Publicado: (2024)

LLM-Auction: Generative Auction towards LLM-Native Advertising
por: Zhao, Chujie, et al.
Publicado: (2025)

Regret Minimization and Convergence to Equilibria in General-sum Markov Games
por: Erez, Liad, et al.
Publicado: (2022)

Fair Allocation with Initial Utilities
por: Boehmer, Niclas, et al.
Publicado: (2026)

Single-Winner Voting on Matchings
por: Boehmer, Niclas, et al.
Publicado: (2026)

NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
por: Kalanther, Addison, et al.
Publicado: (2026)

Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
por: Hennes, Daniel, et al.
Publicado: (2026)

$\widetilde{O}(T^{-1})$ Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games
por: Mao, Weichao, et al.
Publicado: (2024)

Trustworthy Machine Learning under Social and Adversarial Data Sources
por: Shao, Han
Publicado: (2024)

Generating Fair Consensus Statements with Social Choice on Token-Level MDPs
por: Blair, Carter, et al.
Publicado: (2025)

Computational Social Choice: Research & Development
por: Baumeister, Dorothea, et al.
Publicado: (2026)

Optimized Distortion in Linear Social Choice
por: Ge, Luise, et al.
Publicado: (2025)

Guide to Numerical Experiments on Elections in Computational Social Choice
por: Boehmer, Niclas, et al.
Publicado: (2024)

Ad Auctions for LLMs via Retrieval Augmented Generation
por: Hajiaghayi, MohammadTaghi, et al.
Publicado: (2024)

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
por: Liu, Yixin, et al.
Publicado: (2024)

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
por: Zhang, Yuheng, et al.
Publicado: (2024)

Explanation Systems for Approval-Based Multiwinner Voting
por: Boehmer, Niclas, et al.
Publicado: (2026)

Drawing a Map of Elections
por: Szufa, Stanisław, et al.
Publicado: (2025)