A survey of knowledge-enhanced text generation
The goal of text-to-text generation is to make machines express like a human in many
applications such as conversation, summarization, and translation. It is one of the most …
applications such as conversation, summarization, and translation. It is one of the most …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Bold: Dataset and metrics for measuring biases in open-ended language generation
Recent advances in deep learning techniques have enabled machines to generate
cohesive open-ended text when prompted with a sequence of words as context. While these …
cohesive open-ended text when prompted with a sequence of words as context. While these …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
COVID-19 literature knowledge graph construction and drug repurposing report generation
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …
biomedical knowledge in scientific literature to understand the disease mechanism and …
Negative object presence evaluation (nope) to measure object hallucination in vision-language models
Object hallucination poses a significant challenge in vision-language (VL) models, often
leading to the generation of nonsensical or unfaithful responses with non-existent objects …
leading to the generation of nonsensical or unfaithful responses with non-existent objects …
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
A tool that could suggest new personalized research directions and ideas by taking insights
from the scientific literature could profoundly accelerate the progress of science. A field that …
from the scientific literature could profoundly accelerate the progress of science. A field that …
Gaia: A fine-grained multimedia knowledge extraction system
We present the first comprehensive, open source multimedia knowledge extraction system
that takes a massive stream of unstructured, heterogeneous multimedia data from various …
that takes a massive stream of unstructured, heterogeneous multimedia data from various …
Predicting research trends with semantic and neural networks with an application in quantum physics
The vast and growing number of publications in all disciplines of science cannot be
comprehended by a single human researcher. As a consequence, researchers have to …
comprehended by a single human researcher. As a consequence, researchers have to …
[PDF][PDF] Learning to generate novel scientific directions with contextualized literature-based discovery
Abstract Literature-Based Discovery (LBD) aims to discover new scientific knowledge by
mining papers and generating hypotheses. Standard LBD is limited to predicting pairwise …
mining papers and generating hypotheses. Standard LBD is limited to predicting pairwise …