| Macaw-llm: Multi-modal language modeling with image, audio, video, and text integration C Lyu, M Wu, L Wang, X Huang, B Liu, Z Du, S Shi, Z Tu arXiv preprint arXiv:2306.09093, 2023 | 164 | 2023 |
| Lamini-lm: A diverse herd of distilled models from large-scale instructions M Wu, A Waheed, C Zhang, M Abdul-Mageed, AF Aji arXiv preprint arXiv:2304.14402, 2023 | 111 | 2023 |
| A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models C Lyu, Z Du, J Xu, Y Duan, M Wu, T Lynn, AF Aji, DF Wong, S Liu, L Wang arXiv preprint arXiv:2305.01181, 2023 | 71* | 2023 |
| Style over substance: Evaluation biases for large language models M Wu, AF Aji arXiv preprint arXiv:2307.03025, 2023 | 59 | 2023 |
| Bactrian-x: Multilingual replicable instruction-following models with low-rank adaptation H Li, F Koto, M Wu, AF Aji, T Baldwin arXiv preprint arXiv:2305.15011, 2023 | 53 | 2023 |
| Evaluating the utility of hand-crafted features in sequence labelling M Wu, F Liu, T Cohn Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 50 | 2018 |
| Universal conditional masked language pre-training for neural machine translation P Li, L Li, M Zhang, M Wu, Q Liu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 32 | 2022 |
| Adapting large language models for document-level machine translation M Wu, TT Vu, L Qu, G Foster, G Haffari arXiv preprint arXiv:2401.06468, 2024 | 30 | 2024 |
| (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts M Wu, Y Yuan, G Haffari, L Wang arXiv preprint arXiv:2405.11804, 2024 | 26 | 2024 |
| Gpt4video: A unified multimodal large language model for lnstruction-followed understanding and safety-aware generation Z Wang, L Wang, Z Zhao, M Wu, C Lyu, H Li, D Cai, L Zhou, S Shi, Z Tu Proceedings of the 32nd ACM International Conference on Multimedia, 3907-3916, 2024 | 16 | 2024 |
| Uncertainty-aware balancing for multilingual and multi-domain neural machine translation training M Wu, Y Li, M Zhang, L Li, G Haffari, Q Liu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 15 | 2021 |
| Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation M Wu, G Foster, L Qu, G Haffari Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 12 | 2023 |
| Beyond probabilities: Unveiling the misalignment in evaluating large language models C Lyu*, M Wu*, AF Aji arXiv preprint arXiv:2402.13887, 2024 | 8 | 2024 |
| Sharing Matters: Analysing Neurons Across Languages and Tasks in LLMs W Wang, B Haddow, M Wu, W Peng, A Birch arXiv preprint arXiv:2406.09265, 2024 | 4 | 2024 |
| Importance-Aware Data Augmentation for Document-Level Neural Machine Translation M Wu, Y Wang, G Foster, L Qu, G Haffari arXiv preprint arXiv:2401.15360, 2024 | 4 | 2024 |
| Findings of the wmt 2024 shared task on discourse-level literary translation L Wang, S Liu, C Lyu, W Jiao, X Wang, J Xu, Z Tu, Y Gu, W Chen, M Wu, ... arXiv preprint arXiv:2412.11732, 2024 | 3 | 2024 |
| Embsum: Leveraging the summarization capabilities of large language models for content-based recommendations C Zhang, Y Sun, M Wu, J Chen, J Lei, M Abdul-Mageed, R Jin, A Liu, ... Proceedings of the 18th ACM Conference on Recommender Systems, 1010-1015, 2024 | 3 | 2024 |
| NoahNMT at WMT 2021: Dual transfer for very low resource supervised machine translation M Zhang, M Wu, P Li, L Li, Q Liu Proceedings of the Sixth Conference on Machine Translation, 1009-1013, 2021 | 3 | 2021 |
| Improving Document-Level Neural Machine Translation with Discourse Features M Wu, L Qu, G Foster, G Haffari Available at SSRN 4330827, 2023 | 2 | 2023 |
| TransAgents: Build Your Translation Company with Language Agents M Wu, J Xu, L Wang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
Longyue WangAlibaba Group確認したメール アドレス: alibaba-inc.com