Copertina

Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lei, Shijun, Nguyen, Quang, Mehta, Swapneel S, Li, Zeping, Fu, Huichuan, Zheng, Xiaolong, Chen, Siki, Liang, Yunji, Torr, Philip, Yin, Zhenfei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation
di: Li, Zeping, et al.
Pubblicazione: (2026)

Dynamic Mixture of Latent Memories for Self-Evolving Agents
di: Yu, Dianzhi, et al.
Pubblicazione: (2026)

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
di: Xue, Xiangyuan, et al.
Pubblicazione: (2026)

LLM Agents Are the Antidote to Walled Gardens
di: Marro, Samuele, et al.
Pubblicazione: (2025)

How Decentralization Affects User Agency on Social Platforms
di: Surve, Aditya, et al.
Pubblicazione: (2024)

WESE: Weak Exploration to Strong Exploitation for LLM Agents
di: Huang, Xu, et al.
Pubblicazione: (2024)

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
di: Kang, Li, et al.
Pubblicazione: (2025)

Truth or Tribe: How In-group Favoritism Prioritize Facts in Persona Agents
di: Lei, Shijun, et al.
Pubblicazione: (2026)

Deterministic Depth-4 PIT and Normalization
di: Guo, Zeyu, et al.
Pubblicazione: (2025)

A number-theoretic conjecture implying faster algorithms for polynomial factorization and integer factorization
di: Umans, Chris, et al.
Pubblicazione: (2025)

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
di: Sinha, Aarush, et al.
Pubblicazione: (2026)

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
di: Xue, Xiangyuan, et al.
Pubblicazione: (2025)

LLMGreenRec: LLM-Based Multi-Agent Recommender System for Sustainable E-Commerce
di: Nguyen, Hao N., et al.
Pubblicazione: (2026)

Can Large Language Model Agents Simulate Human Trust Behavior?
di: Xie, Chengxing, et al.
Pubblicazione: (2024)

Taxonomy, Evaluation and Exploitation of IPI-Centric LLM Agent Defense Frameworks
di: Ji, Zimo, et al.
Pubblicazione: (2025)

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
di: Li, Shijun, et al.
Pubblicazione: (2025)

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
di: Su, Haoyang, et al.
Pubblicazione: (2024)

Bridging Nodes and Narrative Flows: Identifying Intervention Targets for Disinformation on Telegram
di: Shah, Devang, et al.
Pubblicazione: (2024)

An LLM-Powered Agent for Real-Time Analysis of the Vietnamese IT Job Market
di: Nguyen, Minh-Thuan, et al.
Pubblicazione: (2025)

Single LLM Debate, MoLaCE: Mixture of Latent Concept Experts Against Confirmation Bias
di: Kim, Hazel, et al.
Pubblicazione: (2025)

MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation
di: Yang, Lu, et al.
Pubblicazione: (2026)

Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions
di: Lin, Ryan Y., et al.
Pubblicazione: (2024)

Spec-TOD: A Specialized Instruction-Tuned LLM Framework for Efficient Task-Oriented Dialogue Systems
di: Nguyen, Quang-Vinh, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations
di: Garrido-Merchán, Eduardo C., et al.
Pubblicazione: (2024)

When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms
di: Verma, Priyanka, et al.
Pubblicazione: (2025)

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents
di: Li, Zeping, et al.
Pubblicazione: (2026)

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
di: Zhou, Heng, et al.
Pubblicazione: (2025)

ShopGym: An Integrated Framework for Realistic Simulation and Scalable Benchmarking of E-Commerce Web Agents
di: Savadikar, Chinmay, et al.
Pubblicazione: (2026)

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory
di: Wei, Qianshan, et al.
Pubblicazione: (2025)

Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents
di: Zhou, Heng, et al.
Pubblicazione: (2026)

Practice-Based Optimization for the Strategic Locomotive Assignment Problem
di: Kim, Yunji, et al.
Pubblicazione: (2025)

Can Social Media Platforms Transcend Political Labels? An Analysis of Neutral Conservations on Truth Social
di: Shah, Chaitya, et al.
Pubblicazione: (2024)

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation
di: Yan, Hao, et al.
Pubblicazione: (2025)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
di: Ye, Rui, et al.
Pubblicazione: (2025)

OASIS: Open Agent Social Interaction Simulations with One Million Agents
di: Yang, Ziyi, et al.
Pubblicazione: (2024)

When Agents Disagree With Themselves: Measuring Behavioral Consistency in LLM-Based Agents
di: Mehta, Aman
Pubblicazione: (2026)

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion
di: Yang, Haowei, et al.
Pubblicazione: (2025)

SoK: Security of Autonomous LLM Agents in Agentic Commerce
di: Mao, Qian'ang, et al.
Pubblicazione: (2026)

Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
di: Nguyen, Ha-Thanh, et al.
Pubblicazione: (2024)

Brand Trust and Consumer Loyalty in E-Commerce Platforms
di: Vagdiya, Dilipkumar A.
Pubblicazione: (2025)