research
∙
08/24/2023
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
We introduce the Qwen-VL series, a set of large-scale vision-language mo...
share
research
∙
08/03/2023
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Mathematical reasoning is a challenging task for large language models (...
research
∙
12/19/2022
Transferring General Multimodal Pretrained Models to Text Recognition
This paper proposes a new method, OFA-OCR, to transfer multimodal pretra...
research
∙
07/19/2022
Single Stage Virtual Try-on via Deformable Attention Flows
Virtual try-on aims to generate a photo-realistic fitting result given a...
research
∙
05/24/2022
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing
The fashion industry has diverse applications in multi-modal image gener...
research
∙
02/07/2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
In this work, we pursue a unified paradigm for multimodal pretraining to...
research
∙
05/26/2021
CogView: Mastering Text-to-Image Generation via Transformers
Text-to-Image generation in the general domain has long been an open pro...
research
∙
03/01/2021
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
research
∙
05/20/2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Deep candidate generation (DCG) that narrows down the collection of rele...
research
∙
05/20/2020
Understanding Negative Sampling in Graph Representation Learning
Graph representation learning has been extensively studied in recent yea...
research
∙
09/11/2018
