| Data Augmentation for Low-Resource Neural Machine Translation M Fadaee, A Bisazza, C Monz Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 503 | 2017 |
| Back-translation sampling by targeting difficult words in neural machine translation M Fadaee, C Monz arXiv preprint arXiv:1808.09006, 2018 | 77 | 2018 |
| mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset L Henrique Bonifacio, V Jeronymo, H Queiroz Abonizio, I Campiotti, ... arXiv preprint arXiv:2108.13897, 2021 | 47 | 2021 |
| Inpars: Unsupervised dataset generation for information retrieval L Bonifacio, H Abonizio, M Fadaee, R Nogueira Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 42 | 2022 |
| InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval V Jeronymo, L Bonifacio, H Abonizio, M Fadaee, R Lotufo, J Zavrel, ... arXiv preprint arXiv:2301.01820, 2023 | 34 | 2023 |
| Inpars: Data augmentation for information retrieval using large language models L Bonifacio, H Abonizio, M Fadaee, R Nogueira arXiv preprint arXiv:2202.05144, 2022 | 34 | 2022 |
| Examining the tip of the iceberg: A data set for idiom translation M Fadaee, A Bisazza, C Monz arXiv preprint arXiv:1802.04681, 2018 | 32 | 2018 |
| Learning Topic-Sensitive Word Representations M Fadaee, A Bisazza, C Monz Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 20 | 2017 |
| The unreasonable volatility of neural machine translation models M Fadaee, C Monz arXiv preprint arXiv:2005.12398, 2020 | 15 | 2020 |
| No parameter left behind: How distillation and model size affect zero-shot retrieval GM Rosa, L Bonifacio, V Jeronymo, H Abonizio, M Fadaee, R Lotufo, ... arXiv preprint arXiv:2206.02873, 2022 | 12 | 2022 |
| In defense of cross-encoders for zero-shot retrieval G Rosa, L Bonifacio, V Jeronymo, H Abonizio, M Fadaee, R Lotufo, ... arXiv preprint arXiv:2212.06121, 2022 | 10 | 2022 |
| Automatic WordNet Construction Using Markov Chain Monte Carlo M Fadaee, H Ghader, H Faili, A Shakery Polibits, 13-22, 2013 | 7 | 2013 |
| Data augmentation for low-resource neural machine translation. arXiv 2017 M Fadaee, A Bisazza, C Monz arXiv preprint arXiv:1705.00440, 0 | 7 | |
| When less is more: Investigating data pruning for pretraining llms at scale M Marion, A Üstün, L Pozzobon, A Wang, M Fadaee, S Hooker arXiv preprint arXiv:2309.04564, 2023 | 4 | 2023 |
| A New Neural Search and Insights Platform for Navigating and Organizing AI Research M Fadaee, O Gureenkova, F Rejon-Barrera, C Schnober, W Weerkamp, ... arXiv preprint arXiv:2011.00061, 2020 | 4 | 2020 |
| Examining the tip of the iceberg: A data set for idiom translation F Marzieh, B Arianna, M Christof arXiv preprint arXiv:1802.04681, 2018 | 4 | 2018 |
| InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval. CoRR abs/2301.01820 (2023) V Jeronymo, LH Bonifacio, H Abonizio, M Fadaee, R de Alencar Lotufo, ... | 3 | 2023 |
| Elo Uncovered: Robustness and Best Practices in Language Model Evaluation M Boubdir, E Kim, B Ermis, S Hooker, M Fadaee arXiv preprint arXiv:2311.17295, 2023 | | 2023 |
| Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation M Boubdir, E Kim, B Ermis, M Fadaee, S Hooker arXiv preprint arXiv:2310.14424, 2023 | | 2023 |
| No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval G Moraes Rosa, L Bonifacio, V Jeronymo, H Abonizio, M Fadaee, ... arXiv e-prints, arXiv: 2206.02873, 2022 | | 2022 |
Christof MonzProfessor of Computer Science, University of AmsterdamVerified email at uva.nl
