Results 11 to 20 of about 32,339,977 (323)
Adding Conditional Control to Text-to-Image Diffusion Models [PDF]
IEEE International Conference on Computer Vision, 2023 We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers ...
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
semanticscholar +1 more source
High-Resolution Image Synthesis with Latent Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2021 By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism
Robin Rombach +4 more
semanticscholar +1 more source
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding [PDF]
Neural Information Processing Systems, 2022 We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength ...
Chitwan Saharia +13 more
semanticscholar +1 more source
Code Llama: Open Foundation Models for Code [PDF]
arXiv.org, 2023 We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for ...
Baptiste Rozière +24 more
semanticscholar +1 more source
A Survey of Large Language Models [PDF]
arXiv.org, 2023 Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language.
Wayne Xin Zhao +21 more
semanticscholar +1 more source
Scalable Diffusion Models with Transformers [PDF]
IEEE International Conference on Computer Vision, 2022 We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of images, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of our
William S. Peebles, Saining Xie
semanticscholar +1 more source
A Survey on Evaluation of Large Language Models [PDF]
ACM Transactions on Intelligent Systems and Technology, 2023 Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their evaluation becomes
Yu-Chu Chang +15 more
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Scaling Instruction-Finetuned Language Models [PDF]
Journal of machine learning research, 2022 Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks.
Hyung Won Chung +31 more
semanticscholar +1 more source
Bcl-xL Promotes the Survival of Motor Neurons Derived from Neural Stem Cells
Biology, 2023 Neural stem cell (NSC) transplantation creates new hope for the treatment of neurodegenerative disorders by direct differentiation into neurons. However, this technique is limited by poor survival and functional neuron deficiency. In this research study,
Yunqin Wu +11 more
doaj +1 more source
Emergent Abilities of Large Language Models [PDF]
Trans. Mach. Learn. Res., 2022 Scaling up language models has been shown to predictably improve performance and sample efficiency on a wide range of downstream tasks. This paper instead discusses an unpredictable phenomenon that we refer to as emergent abilities of large language ...
Jason Wei +15 more
semanticscholar +1 more source