Tuning llms with contrastive alignment instructions for machine translation in unseen, low-resource languages
Z Mao, Y Yu - arXiv preprint arXiv:2401.05811, 2024 - arxiv.org
This article introduces contrastive alignment instructions (AlignInstruct) to address two
challenges in machine translation (MT) on large language models (LLMs). One is the …
challenges in machine translation (MT) on large language models (LLMs). One is the …
X-alma: Plug & play modules and adaptive rejection for quality translation at scale
Large language models (LLMs) have achieved remarkable success across various NLP
tasks, yet their focus has predominantly been on English due to English-centric pre-training …
tasks, yet their focus has predominantly been on English due to English-centric pre-training …
Minimizing Language Interference for Multilingual Models
H Xu - 2024 - jscholarship.library.jhu.edu
Advancements in machine learning have revolutionized natural language processing,
enabling the development of models that can understand and generate multiple languages …
enabling the development of models that can understand and generate multiple languages …