GEM: A General Evaluation Benchmark for Multimodal Tasks

Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti


Anthology ID:
2021.findings-acl.229
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2594–2603
Language:
URL:
https://aclanthology.org/2021.findings-acl.229
DOI:
10.18653/v1/2021.findings-acl.229
Bibkey:
Cite (ACL):
Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, and Arun Sacheti. 2021. GEM: A General Evaluation Benchmark for Multimodal Tasks. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2594–2603, Online. Association for Computational Linguistics.
Cite (Informal):
GEM: A General Evaluation Benchmark for Multimodal Tasks (Su et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.229.pdf
Video:
 https://aclanthology.org/2021.findings-acl.229.mp4
Code
 microsoft/GEM
Data
GEM (A General Evaluation Benchmark on Multi-modal Tasks)Conceptual CaptionsGLUEHowTo100MSuperGLUEYouCook2