[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
A diagnostic study of explainability techniques for text classification
P Atanasova - Accountable and Explainable Methods for Complex …, 2024 - Springer
Recent developments in machine learning have introduced models that approach human
performance at the cost of increased architectural complexity. Efforts to make the rationales …
performance at the cost of increased architectural complexity. Efforts to make the rationales …
A review on fact extraction and verification
We study the fact-checking problem, which aims to identify the veracity of a given claim.
Specifically, we focus on the task of Fact Extraction and VERification (FEVER) and its …
Specifically, we focus on the task of Fact Extraction and VERification (FEVER) and its …
A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Adversarial attack and defense technologies in natural language processing: A survey
S Qiu, Q Liu, S Zhou, W Huang - Neurocomputing, 2022 - Elsevier
Recently, the adversarial attack and defense technology has made remarkable
achievements and has been widely applied in the computer vision field, promoting its rapid …
achievements and has been widely applied in the computer vision field, promoting its rapid …
The state of human-centered NLP technology for fact-checking
Misinformation threatens modern society by promoting distrust in science, changing
narratives in public health, heightening social polarization, and disrupting democratic …
narratives in public health, heightening social polarization, and disrupting democratic …
Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources
Misinformation is now a major problem due to its potential high risks to our core democratic
and societal values and orders. Out-of-context misinformation is one of the easiest and …
and societal values and orders. Out-of-context misinformation is one of the easiest and …
Explainable automated fact-checking: A survey
A number of exciting advances have been made in automated fact-checking thanks to
increasingly larger datasets and more powerful systems, leading to improvements in the …
increasingly larger datasets and more powerful systems, leading to improvements in the …
DialFact: A benchmark for fact-checking in dialogue
Fact-checking is an essential tool to mitigate the spread of misinformation and
disinformation. We introduce the task of fact-checking in dialogue, which is a relatively …
disinformation. We introduce the task of fact-checking in dialogue, which is a relatively …
Stance detection benchmark: How robust is your stance detection?
Stance detection (StD) aims to detect an author's stance towards a certain topic and has
become a key component in applications like fake news detection, claim validation, or …
become a key component in applications like fake news detection, claim validation, or …