Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks
arXiv:2609.38359v1 Announce Type: new Abstract: 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 diversi…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-10-01 04:00 · arXiv cs.AI
Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks