23 citations · 48 across the 8 of their papers we have counts for
7 papers
On Pre-trained Language Models for Antibody
Danqing Wang, Fei Ye, Hao Zhou
Antibodies are vital proteins offering robust protection for the human body from pathogens. The development of general protein and antibody-specific pre-trained language models bot…
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
Wenkai Yang, Deli Chen, Hao Zhou +3
Federated Learning (FL) has become a popular distributed learning paradigm that involves multiple clients training a global model collaboratively in a data privacy-preserving manne…
PARAGEN : A Parallel Generation Toolkit
Jiangtao Feng, Yi Zhou, Jun Zhang +7
PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation. PARAGEN provides thirteen types of customizable plugins, helping users to experiment quickly…
Manual-Guided Dialogue for Flexible Conversational Agents
Ryuichi Takanobu, Hao Zhou, Yankai Lin +3
How to build and use dialogue data efficiently, and how to deploy models in different domains at scale can be two critical issues in building a task-oriented dialogue system. In th…
Enhancing Cross-lingual Transfer by Manifold Mixup
Huiyun Yang, Huadong Chen, Hao Zhou +1
Based on large-scale pre-trained multilingual representations, recent cross-lingual transfer methods have achieved impressive transfer performances. However, the performance of tar…
-GLAT: Glancing at Latent Variables for Parallel Text Generation
Yu Bao, Hao Zhou, Shujian Huang +5
Recently, parallel text generation has received widespread attention due to its success in generation efficiency. Although many advanced techniques are proposed to improve its gene…