| Muppet: Massive multi-task representations with pre-finetuning A Aghajanyan, A Gupta, A Shrivastava, X Chen, L Zettlemoyer, S Gupta arXiv preprint arXiv:2101.11038, 2021 | 238 | 2021 |
| Better fine-tuning by reducing representational collapse A Aghajanyan, A Shrivastava, A Gupta, N Goyal, L Zettlemoyer, S Gupta arXiv preprint arXiv:2008.03156, 2020 | 215 | 2020 |
| Conversational semantic parsing A Aghajanyan, J Maillard, A Shrivastava, K Diedrick, M Haeger, H Li, ... arXiv preprint arXiv:2009.13655, 2020 | 49 | 2020 |
| Stop: A dataset for spoken task oriented semantic parsing P Tomasello, A Shrivastava, D Lazar, PC Hsu, D Le, A Sagar, A Elkahky, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 991-998, 2023 | 24 | 2023 |
| Non-autoregressive semantic parsing for compositional task-oriented dialog A Babu, A Shrivastava, A Aghajanyan, A Aly, A Fan, M Ghazvininejad arXiv preprint arXiv:2104.04923, 2021 | 23 | 2021 |
| Cross-lingual transfer learning for intent detection of covid-19 utterances A Arora, A Shrivastava, M Mohit, LSM Lecanda, A Aly | 23 | 2020 |
| Span pointer networks for non-autoregressive task-oriented semantic parsing A Shrivastava, P Chuang, A Babu, S Desai, A Arora, A Zotov, A Aly arXiv preprint arXiv:2104.07275, 2021 | 22 | 2021 |
| Retronlu: Retrieval augmented task-oriented semantic parsing V Gupta, A Shrivastava, A Sagar, A Aghajanyan, D Savenkov arXiv preprint arXiv:2109.10410, 2021 | 19 | 2021 |
| Latency-aware neural architecture search with multi-objective bayesian optimization D Eriksson, PIJ Chuang, S Daulton, P Xia, A Shrivastava, A Babu, S Zhao, ... arXiv preprint arXiv:2106.11890, 2021 | 16 | 2021 |
| Deliberation model for on-device spoken language understanding D Le, A Shrivastava, P Tomasello, S Kim, A Livshits, O Kalinli, ML Seltzer arXiv preprint arXiv:2204.01893, 2022 | 11 | 2022 |
| Low-resource task-oriented semantic parsing via intrinsic modeling S Desai, A Shrivastava, A Zotov, A Aly arXiv preprint arXiv:2104.07224, 2021 | 10 | 2021 |
| iSeqL: interactive sequence learning A Shrivastava, J Heer Proceedings of the 25th International Conference on Intelligent User …, 2020 | 9 | 2020 |
| Privately Customizing Prefinetuning to Better Match User Data in Federated Learning C Hou, H Zhan, A Shrivastava, S Wang, S Livshits, G Fanti, D Lazar arXiv preprint arXiv:2302.09042, 2023 | 5 | 2023 |
| Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing A Shrivastava, S Desai, A Gupta, A Elkahky, A Livshits, A Zotov, A Aly arXiv preprint arXiv:2202.00901, 2022 | 5 | 2022 |
| Muppet: massive multi-task representations with pre-finetuning. 2021 A Aghajanyan, A Gupta, A Shrivastava, X Chen, L Zettlemoyer, S Gupta URL https://arxiv. org/abs/2101.11038, 0 | 3 | |
| TreePiece: Faster Semantic Parsing via Tree Tokenization S Wang, A Shrivastava, S Livshits arXiv preprint arXiv:2303.17161, 2023 | 2 | 2023 |
| Muppet: Massive multi-task representations with pre-finetuning. arXiv A Aghajanyan, A Gupta, A Shrivastava, X Chen, L Zettlemoyer, S Gupta | 2 | 2021 |
| Better fine-tuning by reducing representational collapse A Armen, S Akshat, G Anchit, G Naman, G Sonal arXiv preprint arXiv:2008.03156, 2020 | 2 | 2020 |
| Augmenting text for spoken language understanding with Large Language Models R Sharma, S Kim, D Lazar, T Le, A Shrivastava, K Ahn, P Kansal, L Sari, ... arXiv preprint arXiv:2309.09390, 2023 | 1 | 2023 |
| Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding S Kim, A Shrivastava, D Le, J Lin, O Kalinli, ML Seltzer arXiv preprint arXiv:2307.12134, 2023 | 1 | 2023 |
