Copertina

Accelerated Preference Elicitation with LLM-Based Proxies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, David, Marmolejo-Cossío, Francisco, Lock, Edwin, Parkes, David
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Science and Game Theory Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLM-Powered Preference Elicitation in Combinatorial Assignment
di: Soumalias, Ermis, et al.
Pubblicazione: (2025)

Dynamic Welfare-Maximizing Pooled Testing
di: Lopez, Nicholas, et al.
Pubblicazione: (2026)

Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
di: Nahum, Omer, et al.
Pubblicazione: (2023)

GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
di: Wang, Tonghan, et al.
Pubblicazione: (2024)

Strategic Liquidity Provision in Uniswap v3
di: Fan, Zhou, et al.
Pubblicazione: (2021)

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching
di: Shi, Zhekun, et al.
Pubblicazione: (2025)

Smoothed Elicitation Complexity for Approximate $Γ$-calibration of Discrete Classification Tasks
di: Finocchiaro, Jessica, et al.
Pubblicazione: (2026)

ElicitationGPT: Text Elicitation Mechanisms via Language Models
di: Wu, Yifan, et al.
Pubblicazione: (2024)

Learning to Play Multi-Follower Bayesian Stackelberg Games
di: Personnat, Gerson, et al.
Pubblicazione: (2025)

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
di: Gölz, Paul, et al.
Pubblicazione: (2025)

Balancing Participation and Decentralization in Proof-of-Stake Cryptocurrencies
di: Kiayias, Aggelos, et al.
Pubblicazione: (2024)

Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization
di: D'Amico-Wong, Luca, et al.
Pubblicazione: (2024)

Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts
di: Ivanov, Dima, et al.
Pubblicazione: (2024)

Regularized Online RLHF with Generalized Bilinear Preferences
di: Lee, Junghyun, et al.
Pubblicazione: (2026)

Proportional Aggregation of Preferences for Sequential Decision Making
di: Chandak, Nikhil, et al.
Pubblicazione: (2023)

Eliciting Truthful Feedback for Preference-Based Learning via the VCG Mechanism
di: Landolt, Leo, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Sequential Combinatorial Auctions
di: Ravindranath, Sai Srivatsa, et al.
Pubblicazione: (2024)

GPU-Accelerated Counterfactual Regret Minimization
di: Kim, Juho
Pubblicazione: (2024)

Quotation-Based Data Retention Mechanism for Data Privacy in LLM-Empowered Network Services
di: Han, Bin, et al.
Pubblicazione: (2025)

Incentivizing Truthful Language Models via Peer Elicitation Games
di: Chen, Baiting, et al.
Pubblicazione: (2025)

Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms
di: Xu, Shengwei, et al.
Pubblicazione: (2024)

Generative Social Choice
di: Fish, Sara, et al.
Pubblicazione: (2023)

Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration
di: Zhao, Gaoxiang, et al.
Pubblicazione: (2025)

Eliciting Informed Preferences
di: Camara, Modibo K., et al.
Pubblicazione: (2025)

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
di: Garrido-Lucero, Felipe, et al.
Pubblicazione: (2023)

Response Time Enhances Alignment with Heterogeneous Preferences
di: Echenique, Federico, et al.
Pubblicazione: (2026)

BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
di: Wang, Tonghan, et al.
Pubblicazione: (2025)

The Computational Complexity of the Housing Market
di: Lock, Edwin, et al.
Pubblicazione: (2024)

Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
di: Maruo, Ryota, et al.
Pubblicazione: (2024)

Meta-Learning in Self-Play Regret Minimization
di: Sychrovský, David, et al.
Pubblicazione: (2025)

Reducing Optimism Bias in Incomplete Cooperative Games
di: Úradník, Filip, et al.
Pubblicazione: (2024)

How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics
di: Chen, Yurong, et al.
Pubblicazione: (2026)

Partially Observable Stochastic Games with Neural Perception Mechanisms
di: Yan, Rui, et al.
Pubblicazione: (2023)

A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
di: Agarwal, Shubhankar, et al.
Pubblicazione: (2025)

Data Valuation for LLM Fine-Tuning: Efficient Shapley Value Approximation via Language Model Arithmetic
di: Tamine, Mélissa, et al.
Pubblicazione: (2025)

Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
di: Ai, Rui, et al.
Pubblicazione: (2025)

Learning not to Regret
di: Sychrovský, David, et al.
Pubblicazione: (2023)

Online Recommendations for Agents with Discounted Adaptive Preferences
di: Agarwal, Arpit, et al.
Pubblicazione: (2023)

PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations
di: Lei, Yingjie
Pubblicazione: (2026)

Conditional Graph Diffusion for Negotiation Support: Overcoming Discrete Infeasibility and Preference Elicitation Gaps
di: Singh, Moirangthem Tiken
Pubblicazione: (2026)