arXiv (All)
open access
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
artificial-intelligencecomputation-and-languagecomputers-and-societyhuman-computer-interactionmultiagent-systems
We propose MADS (Multi-Agent Dialogue Simulation), a scalable framework for generating persuasive multi-turn dialogues via agent self-play. MADS employs three coordinated agents: User Agents designed to simulate diverse persona-driven behaviors by leveraging personality signifiers such as Zodiac Sig
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
- SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue#819320
- SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue#809327
- DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching#820539
- Total Simulated Survey Error: Designing and Diagnosing Survey Responses from Large Language Models#997177
- A Three-Tier Persona Vector for Controllable User Simulation in Agentic Evaluation#985932
Record · ID 987481
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