| Context-aware adversarial training for name regularity bias in named entity recognition A Ghaddar, P Langlais, A Rashid, M Rezagholizadeh Transactions of the Association for Computational Linguistics 9, 586-604, 2021 | 43 | 2021 |
| Kronecker decomposition for gpt compression A Edalati, M Tahaei, A Rashid, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2110.08152, 2021 | 37 | 2021 |
| Mate-kd: Masked adversarial text, a companion to knowledge distillation A Rashid, V Lioutas, M Rezagholizadeh arXiv preprint arXiv:2105.05912, 2021 | 35 | 2021 |
| End-to-end self-debiasing framework for robust NLU training A Ghaddar, P Langlais, M Rezagholizadeh, A Rashid arXiv preprint arXiv:2109.02071, 2021 | 33 | 2021 |
| Systems and methods for multilingual text generation field M Rezagholizadeh, MA Haidar, A Do-Omri, A Rashid US Patent 11,151,334, 2021 | 31 | 2021 |
| Revisiting pre-trained language models and their evaluation for arabic natural language understanding A Ghaddar, Y Wu, S Bagga, A Rashid, K Bibi, M Rezagholizadeh, C Xing, ... arXiv preprint arXiv:2205.10687, 2022 | 24 | 2022 |
| A short study on compressing decoder-based language models T Li, YE Mesbahi, I Kobyzev, A Rashid, A Mahmud, N Anchuri, ... arXiv preprint arXiv:2110.08460, 2021 | 24 | 2021 |
| Towards zero-shot knowledge distillation for natural language processing A Rashid, V Lioutas, A Ghaddar, M Rezagholizadeh arXiv preprint arXiv:2012.15495, 2020 | 24 | 2020 |
| Latent code and text-based generative adversarial networks for soft-text generation MA Haidar, M Rezagholizadeh, A Do-Omri, A Rashid arXiv preprint arXiv:1904.07293, 2019 | 24 | 2019 |
| Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition V Lioutas, A Rashid, A Do-Omri, M Haidar, M Rezagholizadeh arXiv preprint arXiv:1910.06720, 0 | 18* | |
| Stress relief by non-linear fillers in insulating solids DW Auckland, A Rashid, K Tavernier, BR Varlow Proceedings of IEEE Conference on Electrical Insulation and Dielectric …, 1994 | 16 | 1994 |
| Bilingual-gan: A step towards parallel text generation A Rashid, A Do-Omri, MA Haidar, Q Liu, M Rezagholizadeh arXiv preprint arXiv:1904.04742, 2019 | 13 | 2019 |
| Improving generalization of pre-trained language models via stochastic weight averaging P Lu, I Kobyzev, M Rezagholizadeh, A Rashid, A Ghodsi, P Langlais arXiv preprint arXiv:2212.05956, 2022 | 12 | 2022 |
| RW-KD: Sample-wise loss terms re-weighting for knowledge distillation P Lu, A Ghaddar, A Rashid, M Rezagholizadeh, A Ghodsi, P Langlais Findings of the Association for Computational Linguistics: EMNLP 2021, 3145-3152, 2021 | 11 | 2021 |
| How to select one among all? an empirical study towards the robustness of knowledge distillation in natural language understanding T Li, A Rashid, A Jafari, P Sharma, A Ghodsi, M Rezagholizadeh Findings of the Association for Computational Linguistics: EMNLP 2021, 750-762, 2021 | 7 | 2021 |
| Jaber and saber: Junior and senior arabic bert A Ghaddar, Y Wu, A Rashid, K Bibi, M Rezagholizadeh, C Xing, Y Wang, ... arXiv preprint arXiv:2112.04329, 2021 | 6 | 2021 |
| The influence of particular barriers on treeing in polyester resin DW Auckland, A Rashid, BR Varlow [1992] Proceedings of the 4th International Conference on Conduction and …, 1992 | 6 | 1992 |
| JABER: junior arabic bert A Ghaddar, Y Wu, A Rashid, K Bibi, M Rezagholizadeh, C Xing, Y Wang, ... ArXiv Prepr. ArXiv211204329, 2021 | 5 | 2021 |
| Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification M Tahaei, A Jafari, A Rashid, D Alfonso-Hermelo, K Bibi, Y Wu, A Ghodsi, ... Findings of the Association for Computational Linguistics: NAACL 2024, 4443-4450, 2024 | 3 | 2024 |
| Method and system for training a neural network model using adversarial learning and knowledge distillation V Lioutas, A Rashid, M Rezagholizadeh US Patent App. 18/119,211, 2023 | 3 | 2023 |
Mehdi RezagholizadehPrincipal Research Scientist, Noah's Ark Lab, Huawei TechnologiesVerified email at mail.mcgill.ca