Search Results for author:
Found 9 papers, 4 papers with code
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic
Our Arabic Stable LM 1. 6B chat model achieves impressive results on several benchmarks beating multiple models with up to 8x the parameters.
Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training
In addition, we provide a detailed study of our pipeline, investigating the choice of the base dataset and LLM for the rephrasing, as well as the relationship between the model size and the performance after pre-training.
Stable Code Technical Report
Stable Code Instruct also exhibits state-of-the-art performance on the MT-Bench coding tasks and on Multi-PL completion compared to other instruction tuned models.
Stable LM 2 1.6B Technical Report
We introduce StableLM 2 1. 6B, the first in a new generation of our language model series.
Holistic Evaluation of Text-To-Image Models
The stunning qualitative improvement of recent text-to-image models has led to their widespread attention and adoption.
Quality-Diversity through AI Feedback
In many text-generation problems, users may prefer not only a single response, but a diverse range of high-quality outputs from which to choose.
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users.
M-VADER: A Model for Diffusion with Multimodal Context
We introduce M-VADER: a diffusion model (DM) for image generation where the output can be specified using arbitrary combinations of images and text.
Latent Space Refinement for Deep Generative Models
Deep generative models are becoming widely used across science and industry for a variety of purposes.
