| Rethinking the role of scale for in-context learning: An interpretability-based case study at 66 billion scale H Bansal, K Gopalakrishnan, S Dingliwal, S Bodapati, K Kirchhoff, D Roth arXiv preprint arXiv:2212.09095, 2022 | 36 | 2022 |
| Personalization of ctc speech recognition models S Dingliwal, M Sunkara, S Ronanki, J Farris, K Kirchhoff, S Bodapati 2022 IEEE Spoken Language Technology Workshop (SLT), 302-309, 2023 | 25 | 2023 |
| Domain prompts: Towards memory and compute efficient domain adaptation of asr systems S Dingliwa, A Shenoy, S Bodapati, A Gandhe, RT Gadde, K Kirchhoff | 23* | 2022 |
| Few shot dialogue state tracking using meta-learning S Dingliwal, B Gao, S Agarwal, CW Lin, T Chung, D Hakkani-Tur arXiv preprint arXiv:2101.06779, 2021 | 20 | 2021 |
| Abstractive summarization of spoken and written conversation P Ganesh, S Dingliwal arXiv preprint arXiv:1902.01615, 2019 | 20* | 2019 |
| Robust handwriting recognition with limited and noisy data H Pham, A Setlur, S Dingliwal, TH Lin, B Póczos, K Huang, Z Li, J Lim, ... 2020 17th International conference on frontiers in handwriting recognition …, 2020 | 11 | 2020 |
| Don’t stop self-supervision: Accent adaptation of speech representations via residual adapters A Bhatia, S Sinha, S Dingliwal, K Gopalakrishnan, S Bodapati, K Kirchhoff | 4 | 2023 |
| Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages D Kulshreshtha, S Dingliwal, B Houston, S Bodapati arXiv preprint arXiv:2307.00759, 2023 | 2 | 2023 |
| Literature Survey on Finding Influential Communities in Large Scale Networks P Ganesh, S Dingliwal, R Agarwal arXiv preprint arXiv:1902.01629, 2019 | 2 | 2019 |
| Retrieve and copy: Scaling asr personalization to large catalogs SM Jayanthi, D Kulshreshtha, S Dingliwal, S Ronanki, S Bodapati arXiv preprint arXiv:2311.08402, 2023 | 1 | 2023 |
| CVC4-SymBreak: derived SMT solver at SMT competition 2019 S Dingliwal, R Agarwal, H Mittal, P Singla CoRR, abs/1908.00860, 2019 | 1 | 2019 |
| Sequential Editing for Lifelong Training of Speech Recognition Models D Kulshreshtha, S Dingliwal, B Houston, N Pappas, S Ronanki arXiv preprint arXiv:2406.17935, 2024 | | 2024 |
| SpeechVerse: A Large-scale Generalizable Audio Language Model N Das, S Dingliwal, S Ronanki, R Paturi, D Huang, P Mathur, J Yuan, ... arXiv preprint arXiv:2405.08295, 2024 | | 2024 |
| SpeechGuard: Exploring the adversarial robustness of multimodal large language models R Peri, SM Jayanthi, S Ronanki, A Bhatia, K Mundnich, S Dingliwal, ... arXiv preprint arXiv:2405.08317, 2024 | | 2024 |
| Towards Personalization of CTC Speech Recognition Models with Contextual Adapters and Adaptive Boosting S Dingliwal, M Sunkara, S Bodapati, S Ronanki, J Farris, K Kirchhoff arXiv preprint arXiv:2210.09510, 2022 | | 2022 |
| Covariate Distribution Aware Meta-learning A Setlur, S Dingliwal, B Poczos arXiv preprint arXiv:2007.02523, 2020 | | 2020 |
| Property Inference in ReLU nets using Linear Interpolants D Pareek, S Dingliwal, J Arora | | |
Prakhar GaneshPhD, McGill University在 mail.mcgill.ca 的电子邮件经过验证
Prakhar GaneshPhD, McGill University在 mail.mcgill.ca 的电子邮件经过验证