Chatgpt perpetuates gender bias in machine translation and ignores non-gendered pronouns: Findings across bengali and five other low-resource languages
S Ghosh, A Caliskan - Proceedings of the 2023 AAAI/ACM Conference …, 2023 - dl.acm.org
In this multicultural age, language translation is one of the most performed tasks, and it is
becoming increasingly AI-moderated and automated. As a novel AI system, ChatGPT claims …
becoming increasingly AI-moderated and automated. As a novel AI system, ChatGPT claims …
Security and privacy challenges of large language models: A survey
Large Language Models (LLMs) have demonstrated extraordinary capabilities and
contributed to multiple fields, such as generating and summarizing text, language …
contributed to multiple fields, such as generating and summarizing text, language …
Incorporation of company-related factual knowledge into pre-trained language models for stock-related spam tweet filtering
Natural language processing for finance has gained significant attention from both
academia and the industry as the continuously increasing amount of financial texts has …
academia and the industry as the continuously increasing amount of financial texts has …
Detecting fake news for COVID-19 using deep learning: a review
H Zaheer, M Bashir - Multimedia Tools and Applications, 2024 - Springer
The December of 2019, marked the start of one of the biggest pandemics that the human
race had seen for some centuries. COVID-19 after originating from China was in full force …
race had seen for some centuries. COVID-19 after originating from China was in full force …
Disinformation detection: Knowledge infusion with transfer learning and visualizations
M Schütz - European Conference on Information Retrieval, 2023 - Springer
The automatic detection of disinformation has gained an increased focus by the research
community during the last years. The spread of false information can be an issue for political …
community during the last years. The spread of false information can be an issue for political …
A deep neural network approach for fake news detection using linguistic and psychological features
K Arunthavachelvan, S Raza, C Ding - User Modeling and User-Adapted …, 2024 - Springer
With the prominence of online social networks, news has become more accessible to a
global audience. However, in the meantime, it has become increasingly difficult for …
global audience. However, in the meantime, it has become increasingly difficult for …
An Interactive Framework for Profiling News Media Sources
N Mehta, D Goldwasser - arXiv preprint arXiv:2309.07384, 2023 - arxiv.org
The recent rise of social media has led to the spread of large amounts of fake and biased
news, content published with the intent to sway beliefs. While detecting and profiling the …
news, content published with the intent to sway beliefs. While detecting and profiling the …
WebIE: Faithful and robust information extraction on the web
Extracting structured and grounded fact triples from raw text is a fundamental task in
Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia …
Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia …
A Federated Convolution Transformer for Fake News Detection
We present a novel approach to detect fake news in Internet of Things (IoT) applications. By
investigating federated learning and trusted authority methods, we address the issue of data …
investigating federated learning and trusted authority methods, we address the issue of data …
Towards Knowledge-Grounded Natural Language Understanding and Generation
C Whitehouse - arXiv preprint arXiv:2403.15364, 2024 - arxiv.org
This thesis investigates how natural language understanding and generation with
transformer models can benefit from grounding the models with knowledge representations …
transformer models can benefit from grounding the models with knowledge representations …