Large language models for robotics: A survey

F Zeng, W Gan, Y Wang, N Liu, PS Yu - arXiv preprint arXiv:2311.07226, 2023 - arxiv.org
The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …

A survey on video diffusion models

Z Xing, Q Feng, H Chen, Q Dai, H Hu, H Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

A survey on ChatGPT: AI-generated contents, challenges, and solutions

Y Wang, Y Pan, M Yan, Z Su… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-
generated content (AIGC) has garnered increasing attention and is leading a paradigm shift …

Generative recommendation: Towards next-generation recommender paradigm

W Wang, X Lin, F Feng, X He, TS Chua - arXiv preprint arXiv:2304.03516, 2023 - arxiv.org
Recommender systems typically retrieve items from an item corpus for personalized
recommendations. However, such a retrieval-based recommender paradigm faces two …

Multimodal large language models: A survey

J Wu, W Gan, Z Chen, S Wan… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The exploration of multimodal language models integrates multiple data types, such as
images, text, language, audio, and other heterogeneity. While the latest large language …

ChatGPT and academic integrity concerns: Detecting artificial intelligence generated content

L Uzun - Language Education and Technology, 2023 - langedutech.com
The rise of artificial intelligence (AI) has led to an increase in the creation of AI-generated
content, such as text, images, and videos. However, this also poses a challenge in terms of …

Large language models in education: Vision and opportunities

W Gan, Z Qi, J Wu, JCW Lin - 2023 IEEE international …, 2023 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, large language models
(LLMs) have become a hot research topic. Education plays an important role in human …

A survey on deep neural network pruning-taxonomy, comparison, analysis, and recommendations

H Cheng, M Zhang, JQ Shi - arXiv preprint arXiv:2308.06767, 2023 - arxiv.org
Modern deep neural networks, particularly recent large language models, come with
massive model sizes that require significant computational and storage resources. To …

Risk taxonomy, mitigation, and assessment benchmarks of large language model systems

T Cui, Y Wang, C Fu, Y Xiao, S Li, X Deng, Y Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have strong capabilities in solving diverse natural language
processing tasks. However, the safety and security issues of LLM systems have become the …

A unified framework for guiding generative ai with wireless perception in resource constrained mobile edge networks

J Wang, H Du, D Niyato, J Kang, Z Xiong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the significant advancements in artificial intelligence (AI) technologies and
computational capabilities, generative AI (GAI) has become a pivotal digital content …