claim
Xie et al. (2021) demonstrated that the asymptotic prediction error for in-context learning achieves optimality even with a distribution mismatch, provided the signal pertaining to the latent concept in each prompt example surpasses the error arising from the distribution mismatch.
Authors
Sources
- A Survey on the Theory and Mechanism of Large Language Models arxiv.org via serper
Referenced by nodes (1)
- In-Context Learning concept