Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
[HTML][HTML] A systematic review of synthetic data generation techniques using generative AI
M Goyal, QH Mahmoud - Electronics, 2024 - mdpi.com
Synthetic data are increasingly being recognized for their potential to address serious real-
world challenges in various domains. They provide innovative solutions to combat the data …
world challenges in various domains. They provide innovative solutions to combat the data …
Open problems in technical ai governance
AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …
they should be navigated. In many cases, the barriers and uncertainties faced are at least …
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Machine learning (ML) methods are proliferating in scientific research. However, the
adoption of these methods has been accompanied by failures of validity, reproducibility, and …
adoption of these methods has been accompanied by failures of validity, reproducibility, and …
Evaluation of transfer learning and adaptability in large language models with the glue benchmark
N Sulaiman, F Hamzah - Authorea Preprints, 2024 - techrxiv.org
This article presents a comprehensive investigation into the adaptability of state-of-the-art
language models (LMs) to diverse domains through transfer learning techniques, evaluated …
language models (LMs) to diverse domains through transfer learning techniques, evaluated …
[HTML][HTML] Forecasting Population Migration in Small Settlements Using Generative Models under Conditions of Data Scarcity
K Zakharov, A Aghajanyan, A Kovantsev… - Smart Cities, 2024 - mdpi.com
Highlights What are the main findings? We have proposed a method for creating synthetic
data in the context of the task of predicting migration balances. We investigated the impact of …
data in the context of the task of predicting migration balances. We investigated the impact of …
Neural Methods for Data-to-text Generation
The neural boom that has sparked natural language processing (NLP) research throughout
the last decade has similarly led to significant innovations in data-to-text generation (D2T) …
the last decade has similarly led to significant innovations in data-to-text generation (D2T) …
Open Artificial Knowledge
V Borisov, RH Schreiber - arXiv preprint arXiv:2407.14371, 2024 - arxiv.org
The tremendous success of chat-based AI systems like ChatGPT, Claude, and Gemini stems
from Large Language Models (LLMs) trained on vast amount of datasets. However …
from Large Language Models (LLMs) trained on vast amount of datasets. However …
HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets
Virtual Reality (VR) has become increasingly popular for remote collaboration, but video
conferencing poses challenges when the user's face is covered by the headset. Existing …
conferencing poses challenges when the user's face is covered by the headset. Existing …
Comprehensive review of privacy, utility and fairness offered by synthetic data
Automation is the core transformation strategy that every industry wants to get on its
roadmap today. Artificial Intelligence (AI) and Machine Learning (ML) are the key …
roadmap today. Artificial Intelligence (AI) and Machine Learning (ML) are the key …