RoBLEURT Submission for the WMT2021 Metrics Task

RoBLEURT is a robustly optimizing the training of BLEURT, a trainable metric model for evaluating the semantic consistency between machine translation candidates and golden references.

Data and Resources

Cite this as

Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao (2024). Dataset: RoBLEURT Submission for the WMT2021 Metrics Task. https://doi.org/10.57702/72be3v9x

DOI retrieved: December 17, 2024

Additional Info

Field Value
Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2204.13352
Author Yu Wan
More Authors
Dayiheng Liu
Baosong Yang
Tianchi Bi
Haibo Zhang
Boxing Chen
Weihua Luo
Derek F. Wong
Lidia S. Chao
Homepage https://huggingface.co/roberta-large-mnli