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 | 54 | 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 | 32 | 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 | 32* | 2022 |
Speechverse: A large-scale generalizable audio language model N Das, S Dingliwal, S Ronanki, R Paturi, Z Huang, P Mathur, J Yuan, ... arXiv preprint arXiv:2405.08295, 2024 | 30 | 2024 |
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 | 25 | 2021 |
Abstractive summarization of spoken and written conversation P Ganesh, S Dingliwal arXiv preprint arXiv:1902.01615, 2019 | 23* | 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 | 12 | 2020 |
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 | 8 | 2023 |
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 arXiv preprint arXiv:2307.00453, 2023 | 7 | 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 | 4 | 2023 |
Speechguard: Exploring the adversarial robustness of multi-modal large language models R Peri, SM Jayanthi, S Ronanki, A Bhatia, K Mundnich, S Dingliwal, ... Findings of the Association for Computational Linguistics ACL 2024, 10018-10035, 2024 | 2 | 2024 |
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 | 2 | 2024 |
Literature survey on finding influential communities in large scale networks P Ganesh, S Dingliwal, R Agarwal arXiv preprint arXiv:1902.01629, 2019 | 2 | 2019 |
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins J Ko, S Dingliwal, B Ganesh, S Sengupta, S Bodapati, A Galstyan arXiv preprint arXiv:2410.09362, 2024 | 1 | 2024 |
CVC4-SymBreak: derived SMT solver at SMT competition 2019 S Dingliwal, R Agarwal, H Mittal, P Singla CoRR, abs/1908.00860, 2019 | 1 | 2019 |
Domain entity extraction for performing text analysis tasks JC Moriarty, S Dingliwal, K Gopalakrishnan, SB Bodapati, K Kirchhoff, ... US Patent App. 18/344,764, 2025 | | 2025 |
Large language models providing evidence mappings for generated output S Dingliwal, K Gopalakrishnan, SB Bodapati, S Handa, K Kirchhoff US Patent App. 18/344,742, 2025 | | 2025 |
Automated evaluation of evidence mapping models D Kulshreshtha, S Dingliwal, SB Bodapati, K Kirchhoff, S Handa US Patent App. 18/344,739, 2025 | | 2025 |
Domain-specific parameter pre-fixes for tuning automatic speech recognition S Dingliwal, SB Bodapati, K Kirchhoff, A Gandhe, A Mishra, J Baker, ... US Patent 12,136,413, 2024 | | 2024 |
Salient information prompting to steer content in prompt-based abstractive summarization L Xu, MA Karim, S Dingliwal, A Elangovan arXiv preprint arXiv:2410.02741, 2024 | | 2024 |