[HTML][HTML] Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for …

YK Dwivedi, N Kshetri, L Hughes, EL Slade… - International Journal of …, 2023 - Elsevier
Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a …

A brief overview of ChatGPT: The history, status quo and potential future development

T Wu, S He, J Liu, S Sun, K Liu… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

C Mou, X Wang, L **e, Y Wu, J Zhang, Z Qi… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated
strong power of learning complex structures and meaningful semantics. However, relying …

Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research …

YK Dwivedi, N Kshetri, L Hughes, EL Slade, A Jeyaraj… - 2023 - uia.brage.unit.no
Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a …

Machine learning methods for small data challenges in molecular science

B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Diffusion models: A comprehensive survey of methods and applications

L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao… - ACM Computing …, 2023 - dl.acm.org
Diffusion models have emerged as a powerful new family of deep generative models with
record-breaking performance in many applications, including image synthesis, video …

ChatGPT is not all you need. A State of the Art Review of large Generative AI models

R Gozalo-Brizuela, EC Garrido-Merchan - arxiv preprint arxiv:2301.04655, 2023 - arxiv.org
During the last two years there has been a plethora of large generative models such as
ChatGPT or Stable Diffusion that have been published. Concretely, these models are able to …

Drag your gan: Interactive point-based manipulation on the generative image manifold

X Pan, A Tewari, T Leimkühler, L Liu, A Meka… - ACM SIGGRAPH 2023 …, 2023 - dl.acm.org
Synthesizing visual content that meets users' needs often requires flexible and precise
controllability of the pose, shape, expression, and layout of the generated objects. Existing …

Multimodal foundation models: From specialists to general-purpose assistants

C Li, Z Gan, Z Yang, J Yang, L Li… - … and Trends® in …, 2024 - nowpublishers.com
Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …

A survey on generative diffusion models

H Cao, C Tan, Z Gao, Y Xu, G Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep generative models have unlocked another profound realm of human creativity. By
capturing and generalizing patterns within data, we have entered the epoch of all …