Publications
Preprints
- Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Yongchang Hao, Yanshuai Cao, Lili Mou
ar$\chi$iv 2024 - Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks
Yongchang Hao, Yanshuai Cao, Lili Mou
ar$\chi$iv 2024
Conference Publications
- An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
ICLR 2023 - Teacher Forcing Recovers Reward Functions for Text Generation
Yongchang Hao, Yuxin Liu, Lili Mou
NeurIPS 2022 - Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael Lyu
ACL 2022 - Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
Yongchang Hao*, Shilin He*, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, Xing Wang
NAACL 2021
Theses
- Discovering Reward Functions for Language Models
Yongchang Hao
M.Sc. Thesis, University of Alberta, 2023