The Impact of Positional Encoding on Length Generalization in Transformers A Kazemnejad, I Padhi, KN Ramamurthy, P Das, S Reddy Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 77* | 2023 |
Paraphrase Generation by Learning How to Edit from Samples A Kazemnejad, M Salehi, MS Baghshah Association for Computational Linguistics (ACL 2020), 6010-6021, 2020 | 40 | 2020 |
Transformer architecture: The positional encoding A Kazemnejad Kazemnejad’s blog, 2019 | 21 | 2019 |
The Curious Case of Absolute Position Embeddings K Sinha, A Kazemnejad, S Reddy, J Pineau, D Hupkes, A Williams Findings of Empirical Methods in Natural Language Processing (EMNLP 2022), 2022 | 9 | 2022 |
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models A Kazemnejad, M Rezagholizadeh, P Parthasarathi, S Chandar Findings of Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 | 4 | 2023 |
The Cure or the Curse: Investigating the Role and Challenges of Positional Encoding in Transformers A Kazemnejad McGill University, 2024 | | 2024 |
Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP D Hupkes, V Dankers, K Batsuren, K Sinha, A Kazemnejad, ... Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP, 2023 | | 2023 |