mlsanityData to 14 Oct 2026

ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach

arXiv 2503.17460 ↗First posted 21 Mar 2025cs.CLcited by 2

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Abstract (arXiv)

In this paper, we present ConvoGen: an innovative framework for generating synthetic conversational data using multi-agent systems. Our method leverages few-shot learning and introduces iterative sampling from a dynamically updated few-shot hub to create diverse and realistic conversational scenarios. The generated data has numerous applications, including training and evaluating conversational AI models, and augmenting existing datasets for tasks like conversational intent classification or conversation summarization. Our experiments demonstrate the effectiveness of this method in producing high-quality diverse synthetic conversational data, highlighting its potential to enhance the development and evaluation of conversational AI systems.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 22 references that are in the map. First posted on arXiv 21 Mar 2025.

Builds on

14 of 22 references.

References · 14

  1. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,276
  2. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,988
  3. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 828
  4. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 769
  5. 2017DailyDialog: A Manually Labelled Multi-turn Dialogue Datasetcited by 652
  6. 2024Scaling Synthetic Data Creation with 1,000,000,000 Personascited by 417
  7. 2022SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualizationcited by 168
  8. 2018Training Millions of Personalized Dialogue Agentscited by 126
  9. 2023PLACES: Prompting Language Models for Social Conversation Synthesiscited by 72
  10. 2023Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactionscited by 70
  11. 2023Faithful Persona-based Conversational Dataset Generation with Large Language Modelscited by 47
  12. 2024Synthetic Dialogue Dataset Generation using LLM Agentscited by 39
2 more
  1. 2024Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLMcited by 15
  2. 2024A Framework for Synthetic Audio Conversations Generation using Large Language Modelscited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025DiscussLLM: Teaching Large Language Models When to Speakcited by 2
  2. 2026AgenticAI-DialogGen: Topic-Guided Conversation Generation for Fine-Tuning and Evaluating Short- and Long-Term Memories of LLMscited by 0