arXiv CS
open access
BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents
In decentralized consumer-to-consumer (C2C) marketplaces, people list goods, negotiate with strangers, and rate one another, so trust rests on reputation. Large language model (LLM) agents now act for users, raising risks to their money, privacy, and reputation. We introduce BazaarBench, a simulated
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents#1215834
- CredLeakBench: Evaluating Credential Leakage and Recovery in LLM Agents#1232910
- CAVEAT: Towards Robust Computer-Use Agents in Incentive-Misaligned Environments#1063484
- UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and Training#1142343
- UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and Training#1122328
Record · ID 1194432
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive