UniUD FBK UB UniBZ Submission
The "UniUD FBK UB UniBZ Submission" topic encompasses a range of research efforts focused on improving various aspects of machine learning, particularly in natural language processing and computer vision. Current research emphasizes advancements in model architectures like transformers and neural networks, often incorporating techniques such as data augmentation, ensemble methods, and multi-level training strategies to enhance performance in tasks such as machine translation, quality estimation, and video object tracking. These advancements contribute to the broader field by improving the accuracy and efficiency of AI systems across diverse applications, from automated language processing to real-time video analysis.
Papers
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task
Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task
Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie