| 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 | 14 | 2021 |
| Abstractive summarization of spoken and written conversation P Ganesh, S Dingliwal arXiv preprint arXiv:1902.01615, 2019 | 12 | 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 | 10 | 2020 |
| Domain prompts: Towards memory and compute efficient domain adaptation of ASR systems S Dingliwal, A Shenoy, S Bodapati, A Gandhe, RT Gadde, K Kirchhoff arXiv preprint arXiv:2112.08718, 2021 | 7 | 2021 |
| 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 | 6 | 2023 |
| 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 | 3 | 2022 |
| Restructuring conversations using discourse relations for zero-shot abstractive dialogue summarization P Ganesh, S Dingliwal arXiv preprint arXiv:1902.01615, 2019 | 3 | 2019 |
| Prompt-tuning in ASR systems for efficient domain-adaptation S Dingliwal, A Shenoy, S Bodapati, A Gandhe, RT Gadde, K Kirchhoff arXiv preprint arXiv:2110.06502, 2021 | 1 | 2021 |
| Efficient domain adaptation of language models in ASR systems using prompt-tuning S Dingliwal, A Shenoy, S Bodapati, A Gandhe, RT Gadde, K Kirchhoff CoRR, vol. abs/2110.06502, 2021 | 1 | 2021 |
| Literature Survey on Finding Influential Communities in Large Scale Networks P Ganesh, S Dingliwal, R Agarwal arXiv preprint arXiv:1902.01629, 2019 | 1 | 2019 |
| Covariate Distribution Aware Meta-learning A Setlur, S Dingliwal, B Poczos arXiv preprint arXiv:2007.02523, 2020 | | 2020 |
| Advances in Symmetry Breaking for SAT Modulo Theories S Dingliwal, R Agarwal, H Mittal, P Singla arXiv preprint arXiv:1908.00860, 2019 | | 2019 |
| CVC4-SymBreak: Derived SMT solver at SMT Competition 2019 S Dingliwal, H Mittal, R Agarwal, P Singla CoRR, 2019 | | 2019 |
| Property Inference in ReLU nets using Linear Interpolants D Pareek, S Dingliwal, J Arora | | |
Prakhar GaneshMasters of Computing (AI Specialization), National University of SingaporeVerified email at comp.nus.edu.sg
