Improving translation faithfulness of large language models via augmenting instructions
Large Language Models (LLMs) present strong general capabilities, and a current
compelling challenge is stimulating their specialized capabilities, such as machine …
compelling challenge is stimulating their specialized capabilities, such as machine …
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
Natural language tasks like Named Entity Recognition (NER) in the clinical domain on non-
English texts can be very time-consuming and expensive due to the lack of annotated data …
English texts can be very time-consuming and expensive due to the lack of annotated data …
Chatbots in Education: A Systematic Literature Review
HA Bekkar, Y Chtouki - 2024 10th International Conference on …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has rapidly transitioned from theoretical concepts to practical
applications across various sectors, including education. This paper presents a systematic …
applications across various sectors, including education. This paper presents a systematic …
Rapid Review of Generative AI in Smart Medical Applications
Y Sun, J Ortiz - arXiv preprint arXiv:2406.06627, 2024 - arxiv.org
With the continuous advancement of technology, artificial intelligence has significantly
impacted various fields, particularly healthcare. Generative models, a key AI technology …
impacted various fields, particularly healthcare. Generative models, a key AI technology …
Improving language transfer capability of decoder-only architecture in multilingual neural machine translation
Existing multilingual neural machine translation (MNMT) approaches mainly focus on
improving models with the encoder-decoder architecture to translate multiple languages …
improving models with the encoder-decoder architecture to translate multiple languages …
Scaling laws of decoder-only models on the multilingual machine translation task
Recent studies have showcased remarkable capabilities of decoder-only models in many
NLP tasks, including translation. Yet, the machine translation field has been largely …
NLP tasks, including translation. Yet, the machine translation field has been largely …
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation
Z Qu, Y Wang, J Mao, C Ding, H Tanaka… - arXiv preprint arXiv …, 2025 - arxiv.org
The multilingual neural machine translation (MNMT) enables arbitrary translations across
multiple languages by training a model with limited parameters using parallel data only …
multiple languages by training a model with limited parameters using parallel data only …
Multilingual Clinical NER: Translation or Cross-lingual Transfer?
Natural language tasks like Named Entity Recognition (NER) in the clinical domain on non-
English texts can be very time-consuming and expensive due to the lack of annotated data …
English texts can be very time-consuming and expensive due to the lack of annotated data …
Abstractive Text Summarisation using Recurrent Neural Networks at the Paragraph Level
窶兮NgokoIsrael Christian Tchouya - International Conference on …, 2023 - mauricon.org
Continuous production of information has been facilitated by the easy access to new
technology. This has made it difficult for many users to find relevant information, which are …
technology. This has made it difficult for many users to find relevant information, which are …
Improving In-context Machine Translation
S Sia - 2023 - jscholarship.library.jhu.edu
Abstract In-context Learning for Machine Translation (MT) is a new paradigm enabled by
very large language models self-supervised on massive amounts of language data. These …
very large language models self-supervised on massive amounts of language data. These …