OpenAI introduced the "weak-to-strong generalization" (W2SG) paradigm (Burns et al., 2024), which demonstrates that strong pre-trained language models fine-tuned using supervision signals from weaker models consistently surpass the performance of their weak supervisors.

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)

• OpenAI entity
• pre-trained language models concept