mlsanityData to 7 Oct 2026

From Simulation to Strategy: Automating Personalized Interaction Planning for Conversational Agents

arXiv 2510.08621 ↗First posted 8 Oct 2025cs.CLcited by 0

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

Amid the rapid rise of agentic dialogue models, realistic user-simulator studies are essential for tuning effective conversation strategies. This work investigates a sales-oriented agent that adapts its dialogue based on user profiles spanning age, gender, and occupation. While age and gender influence overall performance, occupation produces the most pronounced differences in conversational intent. Leveraging this insight, we introduce a lightweight, occupation-conditioned strategy that guides the agent to prioritize intents aligned with user preferences, resulting in shorter and more successful dialogues. Our findings highlight the importance of rich simulator profiles and demonstrate how simple persona-informed strategies can enhance the effectiveness of sales-oriented dialogue systems.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 21 of its 28 references that are in the map. First posted on arXiv 8 Oct 2025.

Builds on

21 of 28 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023Character-LLM: A Trainable Agent for Role-Playing16 Oct
  2. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 19

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  4. 2025Qwen3 Technical Reportcited by 8,195
  5. 2023Mistral 7Bcited by 3,065
  6. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  7. 2023ChatDev: Communicative Agents for Software Developmentcited by 893
  8. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
  9. 2023MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoningcited by 311
  10. 2023Self-collaboration Code Generation via ChatGPTcited by 255
  11. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 203
  12. 2016A User Simulator for Task-Completion Dialoguescited by 56
7 more
  1. 2025Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profilescited by 38
  2. 2022A Personalized Dialogue Generator with Implicit User Persona Detectioncited by 19
  3. 2023Large Language Models Perform Diagnostic Reasoningcited by 18
  4. 2022SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialoguescited by 16
  5. 2024Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoningcited by 9
  6. 2023SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Datasetcited by 3
  7. 2025Exploring Personality-Aware Interactions in Salesperson Dialogue Agentscited by 2

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025Agentic Persona Control and Task State Tracking for Realistic User Simulation in Interactive Scenarios
  2. 2025Human vs. Agent in Task-Oriented Conversations
  3. 2026Unlocking Proactivity in Task-Oriented Dialogue
  4. 2025Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
  5. 2026Simulated Customers Never Walk Away: Decision Fidelity of LLM User Simulators Measured Against Real Purchase Outcomes
  6. 2025Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning
  7. 2026Psi-Bench: Evaluating Persona-Sensitive Influencing in Persuasive Dialogues
  8. 2026CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators