| A survey on graph neural networks for knowledge graph completion S Arora arXiv preprint arXiv:2007.12374, 2020 | 92 | 2020 |
| Espnet-slu: Advancing spoken language understanding through espnet S Arora, S Dalmia, P Denisov, X Chang, Y Ueda, Y Peng, Y Zhang, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 79 | 2022 |
| Explain, edit, and understand: Rethinking user study design for evaluating model explanations S Arora, D Pruthi, N Sadeh, WW Cohen, ZC Lipton, G Neubig Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5277-5285, 2022 | 43 | 2022 |
| Reproducing whisper-style training using an open-source toolkit and publicly available data Y Peng, J Tian, B Yan, D Berrebbi, X Chang, X Li, J Shi, S Arora, W Chen, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 33 | 2023 |
| Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning benchmark for speech C Huang, KH Lu, SH Wang, CY Hsiao, CY Kuan, H Wu, S Arora, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 28 | 2024 |
| SLUE phase-2: A benchmark suite of diverse spoken language understanding tasks S Shon, S Arora, CJ Lin, A Pasad, F Wu, R Sharma, WL Wu, HY Lee, ... arXiv preprint arXiv:2212.10525, 2022 | 27 | 2022 |
| BERT meets CTC: New formulation of end-to-end speech recognition with pre-trained masked language model Y Higuchi, B Yan, S Arora, T Ogawa, T Kobayashi, S Watanabe arXiv preprint arXiv:2210.16663, 2022 | 26 | 2022 |
| OWSM v3. 1: Better and faster open whisper-style speech models based on e-branchformer Y Peng, J Tian, W Chen, S Arora, B Yan, Y Sudo, M Shakeel, K Choi, ... arXiv preprint arXiv:2401.16658, 2024 | 24 | 2024 |
| A study on the integration of pre-trained ssl, asr, lm and slu models for spoken language understanding Y Peng, S Arora, Y Higuchi, Y Ueda, S Kumar, K Ganesan, S Dalmia, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 406-413, 2023 | 24 | 2023 |
| Capreolus: A toolkit for end-to-end neural ad hoc retrieval A Yates, S Arora, X Zhang, W Yang, KM Jose, J Lin Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 23 | 2020 |
| A comparative study on e-branchformer vs conformer in speech recognition, translation, and understanding tasks Y Peng, K Kim, F Wu, B Yan, S Arora, W Chen, J Tang, S Shon, P Sridhar, ... arXiv preprint arXiv:2305.11073, 2023 | 15 | 2023 |
| Two-pass low latency end-to-end spoken language understanding S Arora, S Dalmia, X Chang, B Yan, A Black, S Watanabe arXiv preprint arXiv:2207.06670, 2022 | 15 | 2022 |
| Rethinking end-to-end evaluation of decomposable tasks: A case study on spoken language understanding S Arora, A Ostapenko, V Viswanathan, S Dalmia, F Metze, S Watanabe, ... arXiv preprint arXiv:2106.15065, 2021 | 15 | 2021 |
| On embeddings in relational databases S Arora, S Bedathur arXiv preprint arXiv:2005.06437, 2020 | 15 | 2020 |
| Token-level sequence labeling for spoken language understanding using compositional end-to-end models S Arora, S Dalmia, B Yan, F Metze, AW Black, S Watanabe arXiv preprint arXiv:2210.15734, 2022 | 14 | 2022 |
| UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions S Arora, H Futami, J Jung, Y Peng, R Sharma, Y Kashiwagi, E Tsunoo, ... Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 13* | 2024 |
| Blockwise streaming transformer for spoken language understanding and simultaneous speech translation K Deng, S Watanabe, J Shi, S Arora arXiv preprint arXiv:2204.08920, 2022 | 13 | 2022 |
| A tale of two regulatory regimes: Creation and analysis of a bilingual privacy policy corpus S Arora, H Hosseini, C Utz, VK Bannihatti, T Dhellemmes, A Ravichander, ... LREC proceedings, 2022 | 11 | 2022 |
| Creation and analysis of an international corpus of privacy laws S Gupta, E Poplavska, N O'Toole, S Arora, T Norton, N Sadeh, S Wilson arXiv preprint arXiv:2206.14169, 2022 | 9 | 2022 |
| Decoder-only architecture for speech recognition with ctc prompts and text data augmentation E Tsunoo, H Futami, Y Kashiwagi, S Arora, S Watanabe arXiv preprint arXiv:2309.08876, 2023 | 8 | 2023 |
Shinji WatanabeCarnegie Mellon UniversityEmail verificata su cmu.edu