# Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks

> 全文为英语

**Published:** 2026年10月1日
**Author:** Sumit Asthana, Michael Ion, Kevyn Collins Thompson
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/beyond-mode-collapse-generating-diverse-synthetic-expert-conversations-v

High quality synthetic data is central to post training LLMs for adaptive AI applications that represent the diverse expert strategies and decisions in conversations. Prompting LLMs directly or conditioning them on end use scenarios yields low diversity data that collapses onto…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.38359)

**标签：** #arXiv

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