| Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation W Wang, W Jiao, Y Hao, X Wang, S Shi, Z Tu, M Lyu Annual Meeting of the Association for Computational Linguistics (ACL) 1 …, 2022 | 51 | 2022 |
| Flora: Low-Rank Adapters Are Secretly Gradient Compressors Y Hao, Y Cao, L Mou International Conference on Machine Learning (ICML), 2024 | 49* | 2024 |
| Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation Y Hao, S He, W Jiao, Z Tu, M Lyu, X Wang North American Chapter of the Association for Computational Linguistics …, 2021 | 32 | 2021 |
| Teacher Forcing Recovers Reward Functions for Text Generation Y Hao, Y Liu, L Mou Advances in Neural Information Processing Systems (NeurIPS), 2022 | 15 | 2022 |
| An equal-size hard EM algorithm for diverse dialogue generation Y Wen, Y Hao, Y Cao, L Mou International Conference on Learning Representations (ICLR), 2023 | 9 | 2023 |
| Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models J Li, Y Hao, H Xu, X Wang, Y Hong International Conference on Computational Linguistics (COLING), 2025 | 1 | 2025 |
| NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks Y Hao, Y Cao, L Mou ENLSP @ NeurIPS 2024, 2024 | 1 | 2024 |
| LLMR: Knowledge Distillation with a Large Language Model-Induced Reward D Li, Y Hao, L Mou Joint International Conference on Computational Linguistics, Language …, 2024 | 1 | 2024 |
| ULPT: Prompt Tuning with Ultra-Low-Dimensional Optimization Z Wu, Y Hao, L Mou arXiv preprint arXiv:2502.04501, 2025 | | 2025 |
| Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks Y Hao, Y Cao, L Mou arXiv preprint arXiv:2402.03295, 2024 | | 2024 |
| Discovering Reward Functions for Language Models Y Hao University of Alberta, 2023 | | 2023 |