Relay Decoding: Concatenating Large Language Models for Machine Translation

arXiv:2405.02933v1 Announce Type: new
Abstract: Leveraging large language models for machine translation has demonstrated promising results. However, it does require the large language models to possess the capability of handling both the source and target languages in machine translation. When it is challenging to find large models that support the desired languages, resorting to continuous learning methods becomes a costly endeavor. To mitigate these expenses, we propose an innovative approach called RD (Relay Decoding), which entails concatenating two distinct large …

abstract arxiv capability cs.cl decoding however language language models languages large language large language models large models machine machine translation results support translation type