| Pegasus: Pre-training with extracted gap-sentences for abstractive summarization J Zhang, Y Zhao, M Saleh, P Liu International conference on machine learning, 11328-11339, 2020 | 2238 | 2020 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2146 | 2023 |
| Generating wikipedia by summarizing long sequences PJ Liu, M Saleh, E Pot, B Goodrich, R Sepassi, L Kaiser, N Shazeer arXiv preprint arXiv:1801.10198, 2018 | 1017 | 2018 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 671* | 2024 |
| Assessing the factual accuracy of generated text B Goodrich, V Rao, PJ Liu, M Saleh proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 211 | 2019 |
| Slic-hf: Sequence likelihood calibration with human feedback Y Zhao, R Joshi, T Liu, M Khalman, M Saleh, PJ Liu arXiv preprint arXiv:2305.10425, 2023 | 204 | 2023 |
| Statistical rejection sampling improves preference optimization T Liu, Y Zhao, R Joshi, M Khalman, M Saleh, PJ Liu, J Liu arXiv preprint arXiv:2309.06657, 2023 | 144 | 2023 |
| Calibrating sequence likelihood improves conditional language generation Y Zhao, M Khalman, R Joshi, S Narayan, M Saleh, PJ Liu arXiv preprint arXiv:2210.00045, 2022 | 108 | 2022 |
| Out-of-distribution detection and selective generation for conditional language models J Ren, J Luo, Y Zhao, K Krishna, M Saleh, B Lakshminarayanan, PJ Liu The Eleventh International Conference on Learning Representations, 2022 | 69 | 2022 |
| Lipo: Listwise preference optimization through learning-to-rank T Liu, Z Qin, J Wu, J Shen, M Khalman, R Joshi, Y Zhao, M Saleh, ... arXiv preprint arXiv:2402.01878, 2024 | 29 | 2024 |
| Seal: Segment-wise extractive-abstractive long-form text summarization Y Zhao, M Saleh, PJ Liu arXiv preprint arXiv:2006.10213, 2020 | 28 | 2020 |
| Many-to-many traffic grooming in WDM networks MA Saleh, AE Kamal Journal of Optical Communications and Networking 1 (5), 376-391, 2009 | 27 | 2009 |
| Design and provisioning of WDM networks with many-to-many traffic grooming MA Saleh, AE Kamal IEEE/ACM Transactions on Networking 18 (6), 1869-1882, 2010 | 26 | 2010 |
| ForumSum: A multi-speaker conversation summarization dataset M Khalman, Y Zhao, M Saleh Findings of the Association for Computational Linguistics: EMNLP 2021, 4592-4599, 2021 | 22 | 2021 |
| Approximation algorithms for many-to-many traffic grooming in optical WDM networks MA Saleh, AE Kamal IEEE/ACM Transactions On Networking 20 (5), 1527-1540, 2012 | 21 | 2012 |
| Webred: Effective pretraining and finetuning for relation extraction on the web R Ormandi, M Saleh, E Winter, V Rao arXiv preprint arXiv:2102.09681, 2021 | 15 | 2021 |
| Attention-based decoder-only sequence transduction neural networks NM Shazeer, LM Kaiser, E Pot, M Saleh, BD Goodrich, PJ Liu, R Sepassi US Patent 11,556,786, 2023 | 10 | 2023 |
| Approximation algorithms for many-to-many traffic grooming in WDM mesh networks MA Saleh, AE Kamal 2010 Proceedings IEEE INFOCOM, 1-9, 2010 | 9 | 2010 |
| Building math agents with multi-turn iterative preference learning W Xiong, C Shi, J Shen, A Rosenberg, Z Qin, D Calandriello, M Khalman, ... arXiv preprint arXiv:2409.02392, 2024 | 8 | 2024 |
| Dynamic provisioning of optical networks with many-to-many traffic grooming MA Saleh, AE Kamal 2010 Proceedings of 19th International Conference on Computer Communications …, 2010 | 5 | 2010 |
