Min et al. (2022a) found that replacing labels in input-label pairs with random ones during in-context learning inference results in only marginal decreases in performance across 12 models, including GPT-3, which contrasts with findings by Xie et al. (2021).

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)

• In-Context Learning concept
• GPT-3 concept