Generative AI
Generative AI focuses on creating new content, ranging from text and images to code and even simulations of complex systems like fluid flows, primarily using large language models (LLMs) and generative adversarial networks (GANs). Current research emphasizes improving model accuracy, addressing biases and ethical concerns, and exploring effective human-AI collaboration in diverse applications like education, healthcare, and software development. This rapidly evolving field holds significant potential to accelerate scientific discovery and transform various industries by automating tasks, generating insights from large datasets, and personalizing services.
Papers
CVPR 2023 Text Guided Video Editing Competition
Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest Iandola
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
Yun Li, Lin Niu, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang
On the Benefit of Generative Foundation Models for Human Activity Recognition
Zikang Leng, Hyeokhyen Kwon, Thomas Plötz
Transformers for scientific data: a pedagogical review for astronomers
Dimitrios Tanoglidis, Bhuvnesh Jain, Helen Qu
Telecom AI Native Systems in the Age of Generative AI -- An Engineering Perspective
Ricardo Britto, Timothy Murphy, Massimo Iovene, Leif Jonsson, Melike Erol-Kantarci, Benedek Kovács
A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization
Alexander Ororbia, Mary Alexandria Kelly
Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy
Rohith Arumugam S, Angel Deborah S
Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs
Samah Syed, Angel Deborah S
Software Metadata Classification based on Generative Artificial Intelligence
Seetharam Killivalavan, Durairaj Thenmozhi
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs
Wei Peng, Tomas Bosschieter, Jiahong Ouyang, Robert Paul, Ehsan Adeli, Qingyu Zhao, Kilian M. Pohl