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 | 73 | 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 | 62 | 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 | 45 | 2018 |
Bactrian-x: A multilingual replicable instruction-following model with low-rank adaptation H Li, F Koto, M Wu, AF Aji, T Baldwin arXiv preprint arXiv:2305.15011, 2023 | 31 | 2023 |
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 | 26 | 2022 |
Style over substance: Evaluation biases for large language models M Wu, AF Aji arXiv preprint arXiv:2307.03025, 2023 | 19 | 2023 |
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 | 10 | 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 | 6 | 2023 |
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 | 5 | 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 arXiv preprint arXiv:2311.16511, 2023 | 3 | 2023 |
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 |
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models C Lyu, M Wu, AF Aji arXiv preprint arXiv:2402.13887, 2024 | 1 | 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 | 1 | 2024 |
Understanding the Instruction Mixture for Large Language Model Fine-tuning R Wang, M Wu, Y Wang, X Han, C Zhang, H Li arXiv e-prints, arXiv: 2312.10793, 2023 | | 2023 |