| BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation H Xu, B Van Durme, K Murray EMNLP 2021, 2021 | 74 | 2021 |
| A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models H Xu, YJ Kim, A Sharaf, HH Awadalla ICLR 2024, 2023 | 63 | 2023 |
| Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation H Xu, A Sharaf, Y Chen, W Tan, L Shen, B Van Durme, K Murray, YJ Kim ICML 2024, 2024 | 55 | 2024 |
| Gradual Fine-Tuning for Low-Resource Domain Adaptation H Xu, S Ebner, M Yarmohammadi, AS White, B Van Durme, K Murray Adapt-NLP, EACL 2021, 2021 | 39 | 2021 |
| Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction M Yarmohammadi, S Wu, M Marone, H Xu, S Ebner, G Qin, Y Chen, ... EMNLP 2021, 2021 | 30 | 2021 |
| The language barrier: Dissecting safety challenges of llms in multilingual contexts L Shen, W Tan, S Chen, Y Chen, J Zhang, H Xu, B Zheng, P Koehn, ... ACL 2024 Findings, 2024 | 23 | 2024 |
| Cross-lingual bert contextual embedding space mapping with isotropic and isometric conditions H Xu, P Koehn arXiv preprint arXiv:2107.09186, 2021 | 13 | 2021 |
| Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer H Xu, K Murray NAACL 2022 Findings, 2022 | 7 | 2022 |
| VAE based Text Style Transfer with Pivot Words Enhancement Learning H Xu, S Lu, Z Sun, C Ma, C Guo The eighteenth International Conference on Natural Language Processing, 2021 | 7 | 2021 |
| The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains H Xu, P Koehn, K Murray EMNLP 2022, 2022 | 5 | 2022 |
| Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation H Xu, P Koehn Adapt-NLP, EACL 2021, 2021 | 5 | 2021 |
| Narrowing the Gap between Zero-and Few-shot Machine Translation by Matching Styles W Tan, H Xu, L Shen, SS Li, K Murray, P Koehn, B Van Durme, Y Chen NAACL 2024 Findings, 2023 | 2 | 2023 |
| Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity H Xu, M Elbayad, K Murray, J Maillard, V Goswami EMNLP 2023 Findings, 2023 | 2 | 2023 |
| Language-Aware Multilingual Machine Translation with Self-Supervised Learning H Xu, J Maillard, V Goswami EACL 2023 Findings, 2023 | 2 | 2023 |
| Condensing Multilingual Knowledge with Lightweight Language-Specific Modules H Xu, W Tan, SS Li, Y Chen, B Van Durme, P Koehn, K Murray EMNLP 2023, 2023 | 1 | 2023 |
| JHU IWSLT 2024 Dialectal and Low-resource System Description NR Robinson, K Sun, C Xiao, N Bafna, W Tan, H Xu, HL Xinyuan, ... Proceedings of the 21st International Conference on Spoken Language …, 2024 | | 2024 |
| Streaming Sequence Transduction through Dynamic Compression W Tan, Y Chen, T Chen, G Qin, H Xu, HC Zhang, B Van Durme, P Koehn arXiv preprint arXiv:2402.01172, 2024 | | 2024 |
| Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models T Li, H Xu, P Koehn, D Khashabi, K Murray ICLR 2024, 2023 | | 2023 |
| Efficiently Harnessing Parameter Importance for Better Training T Li, H Xu, P Koehn, K Murray | | 2023 |
Kenton MurrayResearch Scientist, Johns Hopkins在 jhu.edu 的电子邮件经过验证
