Wei et al. (2023) observed that smaller large language models primarily rely on semantic priors from pretraining during in-context learning (ICL) and often disregard label flips in the context, whereas larger models demonstrate the capability to override these priors when faced with label flips.

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 (3)

• Large Language Models concept
• In-Context Learning concept
• Pre-training concept