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 …
Transformer: A general framework from machine translation to others
Abstract Machine translation is an important and challenging task that aims at automatically
translating natural language sentences from one language into another. Recently …
translating natural language sentences from one language into another. Recently …
Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention
Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …
conversations with chatbots. Although LLM-driven chatbots have the potential to support …
Ddcot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language models
A long-standing goal of AI systems is to perform complex multimodal reasoning like humans.
Recently, large language models (LLMs) have made remarkable strides in such multi-step …
Recently, large language models (LLMs) have made remarkable strides in such multi-step …
[PDF][PDF] Multilingual denoising pre-training for neural machine translation
Y Liu - arXiv preprint arXiv:2001.08210, 2020 - fq.pkwyx.com
This paper demonstrates that multilingual denoising pre-training produces significant
performance gains across a wide variety of machine translation (MT) tasks. We present …
performance gains across a wide variety of machine translation (MT) tasks. We present …
Look before you leap: An exploratory study of uncertainty measurement for large language models
The recent performance leap of Large Language Models (LLMs) opens up new
opportunities across numerous industrial applications and domains. However, erroneous …
opportunities across numerous industrial applications and domains. However, erroneous …
Incorporating bert into neural machine translation
The recently proposed BERT has shown great power on a variety of natural language
understanding tasks, such as text classification, reading comprehension, etc. However, how …
understanding tasks, such as text classification, reading comprehension, etc. However, how …
Do llms understand user preferences? evaluating llms on user rating prediction
Large Language Models (LLMs) have demonstrated exceptional capabilities in generalizing
to new tasks in a zero-shot or few-shot manner. However, the extent to which LLMs can …
to new tasks in a zero-shot or few-shot manner. However, the extent to which LLMs can …
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 …
Natural language processing advancements by deep learning: A survey
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a
better understanding of the human language for linguistic-based human-computer …
better understanding of the human language for linguistic-based human-computer …