| A knowledge-grounded neural conversation model M Ghazvininejad, C Brockett, MW Chang, B Dolan, J Gao, W Yih, ... Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 641 | 2018 |
| A review on language models as knowledge bases B AlKhamissi, M Li, A Celikyilmaz, M Diab, M Ghazvininejad arXiv preprint arXiv:2204.06031, 2022 | 120 | 2022 |
| Aligned cross entropy for non-autoregressive machine translation M Ghazvininejad, V Karpukhin, L Zettlemoyer, O Levy International Conference on Machine Learning, 3515-3523, 2020 | 108 | 2020 |
| Bart M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ... Letters of the Right Honourable Sir George Cornewall Lewis, Bart., to …, 1870 | 6 | 1870 |
| Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ... arXiv preprint arXiv:1910.13461, 2019 | 9842 | 2019 |
| Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension, 2019 M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ... arXiv preprint arXiv:1910.13461, 1910 | 63 | 1910 |
| BitextEdit: Automatic bitext editing for improved low-resource machine translation E Briakou, SI Wang, L Zettlemoyer, M Ghazvininejad arXiv preprint arXiv:2111.06787, 2021 | 3 | 2021 |
| Delight: Deep and light-weight transformer S Mehta, M Ghazvininejad, S Iyer, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2008.00623, 2020 | 125 | 2020 |
| Detecting hallucinated content in conditional neural sequence generation C Zhou, G Neubig, J Gu, M Diab, P Guzman, L Zettlemoyer, ... arXiv preprint arXiv:2011.02593, 2020 | 161 | 2020 |
| Dictionary-based phrase-level prompting of large language models for machine translation M Ghazvininejad, H Gonen, L Zettlemoyer arXiv preprint arXiv:2302.07856, 2023 | 29 | 2023 |
| Discourse-aware prompt design for text generation M Ghazvininejad, V Karpukhin, A Celikyilmaz arXiv preprint arXiv:2112.05717, 2021 | 4 | 2021 |
| Discourse-aware soft prompting for text generation M Ghazvininejad, V Karpukhin, V Gor, A Celikyilmaz arXiv preprint arXiv:2112.05717, 2021 | 5 | 2021 |
| Distributionally robust multilingual machine translation C Zhou, D Levy, X Li, M Ghazvininejad, G Neubig arXiv preprint arXiv:2109.04020, 2021 | 23 | 2021 |
| Ease: Extractive-abstractive summarization with explanations H Li, A Einolghozati, S Iyer, B Paranjape, Y Mehdad, S Gupta, ... arXiv preprint arXiv:2105.06982, 2021 | 20* | 2021 |
| From local similarity to global coding: An application to image classification A Shaban, HR Rabiee, M Farajtabar, M Ghazvininejad Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 42 | 2013 |
| Generating Topical Poetry M Ghazvininejad, X Shi, Y Choi, K Knight Empirical Methods on Natural Language Processing, 2016 | 191 | 2016 |
| Hafez: an Interactive Poetry Generation System M Ghazvininejad, X Shi, J Priyadarshi, K Knight proceeding of ACL Demo Track, 2017 | 190 | 2017 |
| Hierarchical active transfer learning D Kale, M Ghazvininejad, A Ramakrishna, J He, Y Liu Proceedings of the 2015 SIAM International Conference on Data Mining, 514-522, 2015 | 23 | 2015 |
| HMM based semi-supervised learning for activity recognition M Ghazvininejad, HR Rabiee, N Pourdamghani, P Khanipour Proceedings of the 2011 international workshop on Situation activity & goal …, 2011 | 18 | 2011 |
| How Much Information Does a Human Translator Add to the Original? B Zoph, M Ghazvininejad, K Knight | 8 | 2015 |
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu