Addressing 6 challenges in generative AI for digital health: A sco** review

T Templin, MW Perez, S Sylvia, J Leek… - PLOS digital …, 2024 - journals.plos.org
Generative artificial intelligence (AI) can exhibit biases, compromise data privacy,
misinterpret prompts that are adversarial attacks, and produce hallucinations. Despite the …

Internet of everything meets the metaverse: Bridging physical and virtual worlds with blockchain

W Rafique, J Qadir - Computer Science Review, 2024 - Elsevier
The Metaverse is an evolving technology that leverages the Internet infrastructure and the
massively connected Internet of Everything (IoE) to create an immersive virtual world. In the …

Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias

Z Wan, C Liu, M Zhang, J Fu, B Wang… - Advances in …, 2023 - proceedings.neurips.cc
The scarcity of data presents a critical obstacle to the efficacy of medical vision-language pre-
training (VLP). A potential solution lies in the combination of datasets from various language …

Svd-llm: Truncation-aware singular value decomposition for large language model compression

X Wang, Y Zheng, Z Wan, M Zhang - arxiv preprint arxiv:2403.07378, 2024 - arxiv.org
The advancements in Large Language Models (LLMs) have been hindered by their
substantial sizes, which necessitate LLM compression methods for practical deployment …

Efficient prompting for llm-based generative internet of things

B **ao, B Kantarci, J Kang, D Niyato… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Large language models (LLMs) have demonstrated remarkable capacities on various tasks,
and integrating the capacities of LLMs into the Internet of Things (IoT) applications has …

Navigating the metaverse: A technical review of emerging virtual worlds

H Herath, M Mittal, A Kataria - Wiley Interdisciplinary Reviews …, 2024 - Wiley Online Library
The metaverse, a burgeoning virtual reality realm, has garnered substantial attention owing
to its multifaceted applications. Rapid advancements and widespread acceptance of …

Rapid review of generative ai in smart medical applications

Y Sun, J Ortiz - arxiv preprint arxiv:2406.06627, 2024 - arxiv.org
With the continuous advancement of technology, artificial intelligence has significantly
impacted various fields, particularly healthcare. Generative models, a key AI technology …

D2o: Dynamic discriminative operations for efficient generative inference of large language models

Z Wan, X Wu, Y Zhang, Y **n, C Tao, Z Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
Efficient inference in Large Language Models (LLMs) is impeded by the growing memory
demands of key-value (KV) caching, especially for longer sequences. Traditional KV cache …

Artificial intelligence of things: A survey

SI Siam, H Ahn, L Liu, S Alam, H Shen, Z Cao… - ACM Transactions on …, 2025 - dl.acm.org
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

Spatio-temporal contrastive learning-enhanced GNNs for session-based recommendation

Z Wan, X Liu, B Wang, J Qiu, B Li, T Guo… - ACM Transactions on …, 2023 - dl.acm.org
Session-based recommendation (SBR) systems aim to utilize the user's short-term behavior
sequence to predict the next item without the detailed user profile. Most recent works try to …