Anchor-based re-weighting methods, demonstration compression techniques, and diagnostic analysis frameworks for In-Context Learning (ICL) errors have been proposed and validated to improve ICL performance.

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 (1)

• In-Context Learning concept