2023
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
EMNLP 2023short findings
Large language models (LLMs) are a promising avenue for machine translation (MT). However, current LLM-based MT systems are brittle: their effectiveness highly depends on the choice of few-shot examples and they often require extra post-processing due to overgeneration. Alternatives such as finetun…