As a new method of training generative models, Generative Adversarial Net(GAN) has problems when it is applied to the summary generator to generate discrete tokens. This paper considers introducing ...

Microsoft is aggressively pushing genAI features into the core of Windows 11 and Microsoft 365. The company introduced a new ...

For the more, generative adversarial models were introduced to further improve detection performance.In conclusion, our proposed contour detection methods (ContourGAN) contains two stages: the first ...

Encoder-only model can be used to extract sentence features but lacks generative power. Encoder-decoder and decoder-only models are used for text generation. In particular, most existing LLMs prefer ...

Drawing inspiration from the success of previous neural autoregressive models applied to sequential raw data (e.g., images, text, and raw audio waveforms) and building upon previously proposed ...

Generative AI has become the buzzword of 2023. Whether text-generating ChatGPT or image-generating Midjourney, generative AI tools have significantly impacted businesses and dominated the content ...

Abstract: As a new method of training generative models, Generative Adversarial Net(GAN) has problems when it is applied to the summary generator to generate discrete tokens. This paper considers ...