2023
Robustness of Named-Entity Replacements for In-Context Learning
EMNLP 2023short findings
A key feature of modern large language models (LLMs) is their ability to perform in-context learning, a prompting technique where query- answer demonstrations are shown before the final query. This allows for generalization to novel distributions at inference time where the LLM can learn new rules w…