| Extending neural generative conversational model using external knowledge sources P Parthasarathi, J Pineau arXiv preprint arXiv:1809.05524, 2018 | 102 | 2018 |
| Unnatural language inference K Sinha, P Parthasarathi, J Pineau, A Williams arXiv preprint arXiv:2101.00010, 2020 | 99 | 2020 |
| Learning an unreferenced metric for online dialogue evaluation K Sinha, P Parthasarathi, J Wang, R Lowe, WL Hamilton, J Pineau arXiv preprint arXiv:2005.00583, 2020 | 94 | 2020 |
| Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources in the same domain J Rajendran, A Srinivas, MM Khapra, P Prasanna, B Ravindran arXiv preprint arXiv:1510.02879, 2015 | 70 | 2015 |
| Sometimes we want ungrammatical translations P Parthasarathi, K Sinha, J Pineau, A Williams Findings of the Association for Computational Linguistics: EMNLP 2021, 3205-3227, 2021 | 15* | 2021 |
| Local structure matters most: Perturbation study in NLU L Clouatre, P Parthasarathi, A Zouaq, S Chandar arXiv preprint arXiv:2107.13955, 2021 | 15 | 2021 |
| Deep learning on a healthy data diet: Finding important examples for fairness A Zayed, P Parthasarathi, G Mordido, H Palangi, S Shabanian, S Chandar Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14593 …, 2023 | 13 | 2023 |
| Maca: A modular architecture for conversational agents HP Truong, P Parthasarathi, J Pineau Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 93-102, 2017 | 12 | 2017 |
| Adaapt: A deep architecture for adaptive policy transfer from multiple sources J Rajendran, P Prasanna, B Ravindran, MM Khapra arXiv preprint arXiv 1510, 2015 | 12 | 2015 |
| Demystifying neural language models’ insensitivity to word-order L Clouatre, P Parthasarathi, A Zouaq, S Chandar arXiv preprint arXiv:2107.13955 5, 45-67, 2021 | 10 | 2021 |
| Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task? P Parthasarathi, J Pineau, S Chandar Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 7* | 2021 |
| Measuring the knowledge acquisition-utilization gap in pretrained language models A Kazemnejad, M Rezagholizadeh, P Parthasarathi, S Chandar arXiv preprint arXiv:2305.14775, 2023 | 4 | 2023 |
| Memory augmented optimizers for deep learning PA McRae*, P Parthasarathi*, M Assran, S Chandar arXiv preprint arXiv:2106.10708, 2021 | 4 | 2021 |
| Practical Takes on Federated Learning with Pretrained Language Models A Agarwal, M Rezagholizadeh, P Parthasarathi Findings of the Association for Computational Linguistics: EACL 2023, 454-471, 2023 | 3 | 2023 |
| On task-level dialogue composition of generative transformer model P Parthasarathi, A Neelakantan, S Narang arXiv preprint arXiv:2010.04826, 2020 | 3 | 2020 |
| Variational encoder decoder for image generation conditioned on captions J Romoff, N Angelard-Gontier, P Parthasarathi | 3 | 2016 |
| A brief study on the effects of training generative dialogue models with a semantic loss P Parthasarathi, M Abdelsalam, J Pineau, S Chandar arXiv preprint arXiv:2106.10619, 2021 | 2 | 2021 |
| EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems M Dehghan, MA Alomrani, S Bagga, D Alfonso-Hermelo, K Bibi, ... arXiv preprint arXiv:2406.10393, 2024 | 1 | 2024 |
| Towards Practical Tool Usage for Continually Learning LLMs J Huang, P Parthasarathi, M Rezagholizadeh, S Chandar arXiv preprint arXiv:2404.09339, 2024 | 1 | 2024 |
| Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games A Vaithilingam Sudhakar, P Parthasarathi, J Rajendran, S Chandar arXiv e-prints, arXiv: 2311.07687, 2023 | 1* | 2023 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
