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://preview.aclanthology.org/icon-24-ingestion/2021.findings-acl.229/
- DOI:
- 10.18653/v1/2021.findings-acl.229
- 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)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2021.findings-acl.229.pdf
- Code
- microsoft/GEM
- Data
- GEM (A General Evaluation Benchmark on Multi-modal Tasks), Conceptual Captions, GLUE, HowTo100M, SuperGLUE, YouCook2