Pre-trained language models for text generation: A survey
Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
Neural machine translation in foreign language teaching and learning: a systematic review
Nowadays, hardly anyone working in the field of foreign language teaching and learning
can imagine life without machine translation (MT) tools. Thanks to the rapid development of …
can imagine life without machine translation (MT) tools. Thanks to the rapid development of …
Should chatgpt be biased? challenges and risks of bias in large language models
E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …
biases ingrained within these models have garnered increasing attention from researchers …
Language model tokenizers introduce unfairness between languages
Recent language models have shown impressive multilingual performance, even when not
explicitly trained for it. Despite this, there are concerns about the quality of their outputs …
explicitly trained for it. Despite this, there are concerns about the quality of their outputs …
Survey of low-resource machine translation
We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …
research. There are currently around 7,000 languages spoken in the world and almost all …
[HTML][HTML] Unveiling security, privacy, and ethical concerns of ChatGPT
This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic
modeling and reinforcement learning to generate natural responses. Although ChatGPT …
modeling and reinforcement learning to generate natural responses. Although ChatGPT …
[HTML][HTML] A scenario-generic neural machine translation data augmentation method
Amid the rapid advancement of neural machine translation, the challenge of data sparsity
has been a major obstacle. To address this issue, this study proposes a general data …
has been a major obstacle. To address this issue, this study proposes a general data …
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …
both excitement and concern due to their ability to effectively respond to freetext queries with …
Multilingual training for software engineering
Well-trained machine-learning models, which leverage large amounts of open-source
software data, have now become an interesting approach to automating many software …
software data, have now become an interesting approach to automating many software …
Neural machine translation methods for translating text to sign language glosses
D Zhu, V Czehmann, E Avramidis - … of the 61st Annual Meeting of …, 2023 - aclanthology.org
State-of-the-art techniques common to low resource Machine Translation (MT) are applied to
improve MT of spoken language text to Sign Language (SL) glosses. In our experiments, we …
improve MT of spoken language text to Sign Language (SL) glosses. In our experiments, we …