Abstract: Generating images that align with textual input using text-to-image (TTI) generation models is a challenging task. Generative adversarial network (GAN) based TTI models can produce realistic ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

Currently, optimum-cli export onnx --model cross-encoder/ms-marco-MiniLM-L-12-v2 cross-encoder--ms-marco-MiniLM-L-12-v2-onnx says: ValueError: Asked to export a bert ...

Potential BugUser is reporting a bug. This should be tested.User is reporting a bug. This should be tested. There is a similar report already opened in #9844, but it is reasonable to consider this as ...

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Researchers have tested a method for rewriting blocked prompts in text-to-video systems so they slip past safety filters without changing their meaning. The approach worked across several platforms, ...