|
--- |
|
language: |
|
- en |
|
|
|
--- |
|
|
|
<a href="https://2024.emnlp.org/" target="_blank"> <img alt="EMNLP 2024" src="https://img.shields.io/badge/Proceedings-EMNLP2024-red" /> </a> |
|
|
|
# Dataset Card for rendered_GLUE |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
This repository contains the rendered GLUE dataset evaluated in the paper [Autoregressive Pre-Training on Pixels and Texts (EMNLP 2024)](https://arxiv.org/pdf/2404.10710). For detailed instructions on how to use the model, please visit our [GitHub page](https://github.com/ernie-research/pixelgpt/). |
|
|
|
|
|
|
|
|
|
## Citation |
|
``` |
|
@misc{chai2024autoregressivepretrainingpixelstexts, |
|
title = {Autoregressive Pre-Training on Pixels and Texts}, |
|
author = {Chai, Yekun and Liu, Qingyi and Xiao, Jingwu and Wang, Shuohuan and Sun, Yu and Wu, Hua}, |
|
year = {2024}, |
|
eprint = {2404.10710}, |
|
archiveprefix = {arXiv}, |
|
primaryclass = {cs.CL}, |
|
url = {https://arxiv.org/abs/2404.10710}, |
|
} |
|
``` |
|
|
|
|