Fragment-based reasoning using parallel source-target fragments from similar exemplars can improve LLM-based machine translation

We introduce a novel fragment-based reasoning framework in which the model first extracts parallel source-target fragments from retrieved similar exemplars, and uses these fragments as intermediate reasoning traces to produce the final translation.

http://arxiv.org/abs/2608.27036v1