Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation

Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Pieter Spronck

The quality of output from large language models (LLMs), particularly in machine translation (MT), is closely tied to the quality of in-context examples (ICEs) provided along with…