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

arXiv:2609.38359 · cs.AI, cs.CL, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.AI, cs.CL, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/codez266/diverse-synthetic-expert-conversations

Terminology

• Fidelity — 27× in this paper · explained in 2 episodes
• Scaffolding — 7× in this paper · explained in 3 episodes
• Synthetic Data Generation — 6× in this paper · explained in 5 episodes
• Mode Collapse — 5× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Credit assignment — 1× in this paper · explained in 3 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Gaussian Mixture Model — 1× in this paper
• Gaussian Mixture Model (GMM) — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• Harnessing large-language models to generate private synthetic text
• Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
• Training Proactive and Personalized LLM Agents

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