| When Does Unsupervised Machine Translation Work? K Marchisio, K Duh, P Koehn Proceedings of the 5th Conference on Machine Translation (WMT), 571-583, 2020 | 70 | 2020 |
| Controlling the Reading Level of Machine Translation Output K Marchisio, J Guo, CI Lai, P Koehn Proceedings of Machine Translation Summit XVII: Research Track, 193-203, 2019 | 39 | 2019 |
| Aya 23: Open weight releases to further multilingual progress V Aryabumi, J Dang, D Talupuru, S Dash, D Cairuz, H Lin, B Venkitesh, ... arXiv preprint arXiv:2405.15032, 2024 | 14 | 2024 |
| Mini-model adaptation: Efficiently extending pretrained models to new languages via aligned shallow training K Marchisio, P Lewis, Y Chen, M Artetxe Findings of the Association for Computational Linguistics: ACL 2023, 2022 | 12 | 2022 |
| Improving language plasticity via pretraining with active forgetting Y Chen, K Marchisio, R Raileanu, D Adelani, PLE Saito Stenetorp, ... Advances in Neural Information Processing Systems 36, 31543-31557, 2023 | 10 | 2023 |
| IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces K Marchisio, N Verma, K Duh, P Koehn Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 7 | 2022 |
| Embedding-Enhanced GIZA++: improving low-resource word alignment using embeddings K Marchisio, C Xiong, P Koehn Proceedings of the 15th biennial conference of the Association for Machine …, 2022 | 7* | 2022 |
| Bilingual lexicon induction for low-resource languages using graph matching via optimal transport K Marchisio, A Saad-Eldin, K Duh, C Priebe, P Koehn Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces K Marchisio, Y Park, A Saad-Eldin, A Alyakin, K Duh, C Priebe, P Koehn Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 5 | 2021 |
| An alignment-based approach to semi-supervised bilingual lexicon induction with small parallel corpora K Marchisio, P Koehn, C Xiong Proceedings of Machine Translation Summit XVIII: Research Track, 293-304, 2021 | 4 | 2021 |
| On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation K Marchisio, M Freitag, D Grangier Proceedings of the 2022 Conference of the North American Chapter of the …, 2021 | 4 | 2021 |
| Johns Hopkins University Submission for WMT News Translation Task K Marchisio, YK Lal, P Koehn Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 4 | 2019 |
| Understanding and Mitigating Language Confusion in LLMs K Marchisio, WY Ko, A Bérard, T Dehaze, S Ruder arXiv preprint arXiv:2406.20052, 2024 | 1 | 2024 |
| Multilinguality from Static Embedding Spaces: Algorithmic, Geometric, and Data Considerations KV Marchisio Johns Hopkins University, 2023 | 1 | 2023 |
| How Does Quantization Affect Multilingual LLMs? K Marchisio, S Dash, H Chen, D Aumiller, A Üstün, S Hooker, S Ruder arXiv preprint arXiv:2407.03211, 2024 | | 2024 |
| RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs J Dang, A Ahmadian, K Marchisio, J Kreutzer, A Üstün, S Hooker arXiv preprint arXiv:2407.02552, 2024 | | 2024 |
| Learning a Formality-Aware Japanese Sentence Representation HL Xinyuan, R Lee, J Chen, K Marchisio arXiv preprint arXiv:2301.07209, 2023 | | 2023 |
Philipp KoehnProfessor, Johns Hopkins UniversityVerified email at jhu.edu
