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

> Полный текст доступен на английском

**Published:** 1 октября 2026 г.
**Author:** Sumit Asthana, Michael Ion, Kevyn Collins Thompson
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/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…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2609.38359)

**Теги:** #arXiv

---

*AI Qazaqstan — non-commercial informational portal about AI in Kazakhstan. Machine translations and summaries are AI-generated.*