Image de couverture de livre

PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Lei, Yingjie
Format:	Preprint
Publié:	2026
Sujets:	Computer Science and Game Theory Artificial Intelligence Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Game-theoretic LLM: Agent Workflow for Negotiation Games
par: Hua, Wenyue, et autres
Publié: (2024)

The Limits of Preference Data for Post-Training
par: Zhao, Eric, et autres
Publié: (2025)

TERMS-Bench: Diagnosing LLM Negotiation Agents Beyond Deal Rate
par: Zhang, Erica, et autres
Publié: (2026)

Nash CoT: Multi-Path Inference with Preference Equilibrium
par: Zhang, Ziqi, et autres
Publié: (2024)

The Language of Bargaining: Linguistic Effects in LLM Negotiations
par: Sinha, Stuti, et autres
Publié: (2026)

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
par: Liu, Yixin, et autres
Publié: (2024)

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
par: Zhang, Yuheng, et autres
Publié: (2024)

Evaluating LLM Agent Collusion in Double Auctions
par: Agrawal, Kushal, et autres
Publié: (2025)

LLM-Powered Preference Elicitation in Combinatorial Assignment
par: Soumalias, Ermis, et autres
Publié: (2025)

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
par: Bianchi, Federico, et autres
Publié: (2024)

Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information
par: Miceli-Barone, Antonio Valerio, et autres
Publié: (2026)

Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
par: Qiu, Tianyi Alex, et autres
Publié: (2026)

The Hidden Game Problem
par: Buzaglo, Gon, et autres
Publié: (2025)

The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More
par: Chen, Lingjiao, et autres
Publié: (2026)

LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo
par: Jain, Ojas, et autres
Publié: (2026)

Contextual Dynamic Pricing with Strategic Buyers
par: Liu, Pangpang, et autres
Publié: (2023)

Personality Modeling for Persuasion of Misinformation using AI Agent
par: Lou, Qianmin, et autres
Publié: (2025)

Do LLM Agents Have Regret? A Case Study in Online Learning and Games
par: Park, Chanwoo, et autres
Publié: (2024)

Multi-Head Attention Is a Multi-Player Game
par: Chakrabarti, Kushal, et autres
Publié: (2026)

Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
par: Cai, Yang, et autres
Publié: (2026)

Ad Auctions for LLMs via Retrieval Augmented Generation
par: Hajiaghayi, MohammadTaghi, et autres
Publié: (2024)

On the Fundamental Impossibility of Hallucination Control in Large Language Models
par: Karpowicz, Michał P.
Publié: (2025)

On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
par: Goel, Naman
Publié: (2023)

Language Alignment via Nash-learning and Adaptive feedback
par: Azarafrooz, Ari, et autres
Publié: (2024)

Bandits with Preference Feedback: A Stackelberg Game Perspective
par: Pásztor, Barna, et autres
Publié: (2024)

Pencil Puzzle Bench: A Benchmark for Multi-Step Verifiable Reasoning
par: Waugh, Justin
Publié: (2026)

ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents
par: Mao, Shaoguang, et autres
Publié: (2023)

Learning to Negotiate via Voluntary Commitment
par: Zhu, Shuhui, et autres
Publié: (2025)

Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
par: Khosravi, Khashayar, et autres
Publié: (2023)

EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents
par: Fish, Sara, et autres
Publié: (2025)

LLM-Auction: Generative Auction towards LLM-Native Advertising
par: Zhao, Chujie, et autres
Publié: (2025)

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
par: Feng, Songtao, et autres
Publié: (2023)

Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards
par: Liu, Shuze Daniel, et autres
Publié: (2026)

Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
par: Zhang, Natalia, et autres
Publié: (2024)

RetinaRegNet: A Zero-Shot Approach for Retinal Image Registration
par: Sivaraman, Vishal Balaji, et autres
Publié: (2024)

PokerBench: Training Large Language Models to become Professional Poker Players
par: Zhuang, Richard, et autres
Publié: (2025)

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
par: Marris, Luke, et autres
Publié: (2021)

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

GLEE: A Unified Framework and Benchmark for Language-based Economic Environments
par: Shapira, Eilam, et autres
Publié: (2024)

Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
par: Ai, Rui, et autres
Publié: (2025)