A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Tate Modern and Beijing’s Taikang Art Museum will showcase the work of Professors William Latham and Frederic Fol Leymarie. The interaction and boundaries between human and machine creativity and art ...

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...

Abstract: Adversarial examples can evade the detection of text classification models based on Deep Neural Networks (DNNs), thus posing a potential security threat to the system. To address this ...