The paper 'Towards a theoretical understanding of synthetic data in llm post-training: a reverse-bottleneck perspective' provides a theoretical framework for understanding the role of synthetic data in post-training large language models.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• Synthetic data concept