You Only Edit Once: Incentivizing In-Context Capability of LLMs via Local Demonstration Refinement

Jiarong Wen, Qi Wang, Yun Qu +8

In-context learning (ICL) is crucial for boosting the inference performance of large language models (LLMs). However, the effectiveness of ICL in LLMs is greatly influenced by the…