| The factual inconsistency problem in abstractive text summarization: A survey Y Huang, X Feng, X Feng, B Qin arXiv preprint arXiv:2104.14839, 2021 | 111 | 2021 |
| Unifying the Convergences in Multilingual Neural Machine Translation Y Huang, X Feng, X Geng, B Qin EMNLP2022, 2022 | 14* | 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 EMNLP2024 (Main), 2024 | 7 | 2024 |
| Ensemble learning for heterogeneous large language models with deep parallel collaboration Y Huang, X Feng, B Li, Y Xiang, H Wang, T Liu, B Qin NeurIPS2024 (Spotlight), 2024 | 6* | 2024 |
| Towards Higher Pareto Frontier in Multilingual Machine Translation Y Huang, X Feng, X Geng, B Li, B Qin ACL2023, 2023 | 6 | 2023 |
| 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 |
| SCIR-MT’s Submission for WMT24 General Machine Translation Task B Li, Z Ye, Y Huang, X Feng, B Qin Proceedings of the Ninth Conference on Machine Translation, 280-285, 2024 | | 2024 |
Xiaocheng FengHarbin Institute of TechnologyVerified email at ir.hit.edu.cn
