| 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 | 43 | 2022 |
| Neural inverse text normalization M Sunkara, C Shivade, S Bodapati, K Kirchhoff ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 40 | 2021 |
| Robust prediction of punctuation and truecasing for medical asr M Sunkara, S Ronanki, K Dixit, S Bodapati, K Kirchhoff arXiv preprint arXiv:2007.02025, 2020 | 38 | 2020 |
| Neural word decomposition models for abusive language detection SB Bodapati, S Gella, K Bhattacharjee, Y Al-Onaizan Proceedings of the Third Workshop on Abusive Language Online, https://www …, 2019 | 38 | 2019 |
| Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech M Sunkara, S Ronanki, D Bekal, S Bodapati, K Kirchhoff Proceedings of Interspeech 2020, 2020 | 34 | 2020 |
| Best of both worlds: Robust accented speech recognition with adversarial transfer learning N Das, S Bodapati, M Sunkara, S Srinivasan, DH Chau arXiv preprint arXiv:2103.05834, 2021 | 29 | 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 | 27 | 2023 |
| Robustness to capitalization errors in named entity recognition S Bodapati, H Yun, Y Al-Onaizan Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) 5 …, 2019 | 26 | 2019 |
| Listen, know and spell: Knowledge-infused subword modeling for improving asr performance of oov named entities N Das, M Sunkara, D Bekal, DH Chau, S Bodapati, K Kirchhoff ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 25 | 2022 |
| Domain prompts: Towards memory and compute efficient domain adaptation of asr systems S Dingliwa, A Shenoy, S Bodapati, A Gandhe, RT Gadde, K Kirchhoff | 21 | 2022 |
| Adapting long context nlm for asr rescoring in conversational agents A Shenoy, S Bodapati, M Sunkara, S Ronanki, K Kirchhoff arXiv preprint arXiv:2104.11070, 2021 | 21 | 2021 |
| Remember the context! asr slot error correction through memorization D Bekal, A Shenoy, M Sunkara, S Bodapati, K Kirchhoff 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 13 | 2021 |
| Zero-shot reinforcement learning with deep attention convolutional neural networks S Genc, S Mallya, S Bodapati, T Sun, Y Tao arXiv preprint arXiv:2001.00605, 2020 | 13 | 2020 |
| ASR adaptation for E-commerce chatbots using cross-utterance context and multi-task language modeling A Shenoy, S Bodapati, K Kirchhoff arXiv preprint arXiv:2106.09532, 2021 | 12 | 2021 |
| Automated identification of start-of-reading location for ebooks SB Bodapati, V Kalyanapasupathy US Patent 10,042,880, 2018 | 8 | 2018 |
| Creating text classification machine learning models Y Pushkin, SB Bodapati, RR Anubhai, D Soulios, Y Al-Onaizan US Patent 11,734,937, 2023 | 7 | 2023 |
| Towards Semi-Supervised Semantics Understanding from Speech CI Lai, J Cao, S Bodapati, SW Li Self-Supervised Learning for Speech and Audio Processing, NeurIPS2020, 2020 | 7 | 2020 |
| Multi sense embeddings from topic models S Jain, SB Bodapati, R Nallapati, A Anandkumar In Proceedings of the 3rd International Conference on Natural Language and …, 2019 | 7 | 2019 |
| Dynamic chunk convolution for unified streaming and non-streaming conformer asr X Li, G Huybrechts, S Ronanki, J Farris, S Bodapati ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| Contextual biasing of language models for speech recognition in goal-oriented conversational agents A Shenoy, S Bodapati, K Kirchhoff arXiv preprint arXiv:2103.10325, 2021 | 6 | 2021 |
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