[HTML][HTML] Detecting hallucinations in large language models using semantic entropy

S Farquhar, J Kossen, L Kuhn, Y Gal - Nature, 2024 - nature.com
Large language model (LLM) systems, such as ChatGPT or Gemini, can show impressive
reasoning and question-answering capabilities but often 'hallucinate'false outputs and …

How will the state think with ChatGPT? The challenges of generative artificial intelligence for public administrations

T Cantens - AI & SOCIETY, 2024 - Springer
This article explores the challenges surrounding generative artificial intelligence (GenAI) in
public administrations and its impact on human‒machine interactions within the public …

Large language models: Expectations for semantics-driven systems engineering

R Buchmann, J Eder, HG Fill, U Frank… - Data & Knowledge …, 2024 - Elsevier
Abstract The hype of Large Language Models manifests in disruptions, expectations or
concerns in scientific communities that have focused for a long time on design-oriented …

[HTML][HTML] A financial anomaly prediction approach using semantic space of news flow on twitter

A Bodaghi, J Oliveira - Decision Analytics Journal, 2024 - Elsevier
This study represents an initial endeavor to harness the potential of the semantic space
within the Twitter news flow to forecast financial anomalies. In pursuit of this objective …

AI Hallucinations: A Misnomer Worth Clarifying

N Maleki, B Padmanabhan, K Dutta - arXiv preprint arXiv:2401.06796, 2024 - arxiv.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon termed often as" …

AI and the Problem of Knowledge Collapse

AJ Peterson - arXiv preprint arXiv:2404.03502, 2024 - arxiv.org
While artificial intelligence has the potential to process vast amounts of data, generate new
insights, and unlock greater productivity, its widespread adoption may entail unforeseen …

[HTML][HTML] Research on predicting the driving forces of digital transformation in Chinese media companies based on machine learning

Z Wang, Y Li, X Zhao, Y Wang, Z Xiao - Scientific Reports, 2024 - nature.com
Chinese media companies are facing opportunities and challenges brought about by digital
transformation. Media economics takes the evaluation of the business results of media …

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

J Kossen, J Han, M Razzak, L Schut, S Malik… - arXiv preprint arXiv …, 2024 - arxiv.org
We propose semantic entropy probes (SEPs), a cheap and reliable method for uncertainty
quantification in Large Language Models (LLMs). Hallucinations, which are plausible …

The (Un) Knowledgeable, the (Un) Skilled? Undertaking Chat-GPT Users' Benefit-Risk-Coping Paradox in Higher Education Focusing on an Integrated, UTAUT and …

CJ Fu, ADK Silalahi, SC Huang… - … Journal of Human …, 2024 - Taylor & Francis
The advent of Chat-GPT, an AI-driven technology, is reshaping various sectors, particularly
higher education. This study, merging the Unified Theory of Acceptance and Use of …

Ookpik- A Collection of Out-of-Context Image-Caption Pairs

KL Pham, MK Nguyen-Nhat, AH Dinh, QT Le… - … on Multimedia Modeling, 2024 - Springer
The development of AI-based Cheapfakes detection models has been hindered by a
significant challenge-the scarcity of real-world datasets. Our work directly tackles this issue …