| The factual inconsistency problem in abstractive text summarization: A survey Y Huang, X Feng, X Feng, B Qin arXiv preprint arXiv:2104.14839, 2021 | 96 | 2021 |
| Unifying the Convergences in Multilingual Neural Machine Translation Y Huang, X Feng, X Geng, B Qin EMNLP2022, 2022 | 8* | 2022 |
| Aligning translation-specific understanding to general understanding in large language models Y Huang, X Feng, B Li, C Fu, W Huo, T Liu, B Qin arXiv preprint arXiv:2401.05072, 2024 | 3 | 2024 |
| Towards Higher Pareto Frontier in Multilingual Machine Translation Y Huang, X Feng, X Geng, B Li, B Qin ACL2023, 2023 | 3 | 2023 |
| Enabling ensemble learning for heterogeneous large language models with deep parallel collaboration Y Huang, X Feng, B Li, Y Xiang, H Wang, B Qin, T Liu arXiv preprint arXiv:2404.12715, 2024 | 2 | 2024 |
| Relay Decoding: Concatenating Large Language Models for Machine Translation C Fu, X Feng, Y Huang, W Huo, B Li, H Wang, B Qin, T Liu arXiv preprint arXiv:2405.02933, 2024 | 1 | 2024 |
| Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation W Huo, X Feng, Y Huang, C Fu, H Wang, B Qin Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
| Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations C Fu, X Feng, Y Huang, W Huo, H Wang, B Qin, T Liu Findings of the Association for Computational Linguistics: EMNLP 2023, 12608 …, 2023 | 1 | 2023 |
Xiaocheng FengHarbin Institute of TechnologyVerified email at ir.hit.edu.cn
