| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR, 2023 | 1019 | 2023 |
| Multilingual speech recognition with a single end-to-end model S Toshniwal, TN Sainath, RJ Weiss, B Li, P Moreno, E Weinstein, K Rao ICASSP 2018, 2018 | 292 | 2018 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 209 | 2019 |
| A comparison of techniques for language model integration in encoder-decoder speech recognition S Toshniwal, A Kannan, CC Chiu, Y Wu, TN Sainath, K Livescu SLT 2018, 2018 | 191 | 2018 |
| Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition S Toshniwal, H Tang, L Lu, K Livescu Interspeech 2017, 2017 | 130 | 2017 |
| Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis T Hayashi, S Watanabe, T Toda, K Takeda, S Toshniwal, K Livescu Interspeech 2019, 2019 | 91 | 2019 |
| Parsing speech: a neural approach to integrating lexical and acoustic-prosodic information T Tran, S Toshniwal, M Bansal, K Gimpel, K Livescu, M Ostendorf NAACL 2018, 2017 | 82* | 2017 |
| Generating natural language dialog using a questions corpus J Ajmera, AK Gupta, S Joshi, S Toshniwal US Patent 10,049,152, 2018 | 56 | 2018 |
| Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks S Toshniwal, S Wiseman, A Ettinger, K Livescu, K Gimpel EMNLP 2020, 2020 | 55 | 2020 |
| Jointly learning to align and convert graphemes to phonemes with neural attention models S Toshniwal, K Livescu SLT 2016, 2016 | 54 | 2016 |
| Hierarchical multitask learning for ctc-based speech recognition K Krishna, S Toshniwal, K Livescu arXiv preprint arXiv:1807.06234, 2018 | 53 | 2018 |
| A Cross-Task Analysis of Text Span Representations S Toshniwal, H Shi, B Shi, L Gao, K Livescu, K Gimpel RepL4NLP 2020, 2020 | 43 | 2020 |
| On Generalization in Coreference Resolution S Toshniwal, P Xia, S Wiseman, K Livescu, K Gimpel CRAC@EMNLP 2021, 2021 | 41 | 2021 |
| Chess as a Testbed for Language Model State Tracking S Toshniwal, S Wiseman, K Livescu, K Gimpel AAAI 2022 36 (10), 11385-11393, 2022 | 33* | 2022 |
| Openmathinstruct-1: A 1.8 million math instruction tuning dataset S Toshniwal, I Moshkov, S Narenthiran, D Gitman, F Jia, I Gitman NeurIPS Datasets and Benchmark, 2024 | 26 | 2024 |
| Adapting pretrained text-to-text models for long text sequences W Xiong, A Gupta, S Toshniwal, Y Mehdad, W Yih Findings of EMNLP 2023, 2023 | 22 | 2023 |
| Learning to reason and memorize with self-notes J Lanchantin, S Toshniwal, J Weston, S Sukhbaatar NeurIPS 2023, 2023 | 20 | 2023 |
| VibRein: an engaging and assistive mobile learning companion for students with intellectual disabilities S Toshniwal, P Dey, N Rajput, S Srivastava Proceedings of the annual meeting of the Australian special interest group …, 2015 | 15 | 2015 |
| Nemotron-4 340B Technical Report B Adler, N Agarwal, A Aithal, DH Anh, P Bhattacharya, A Brundyn, ... arXiv preprint arXiv:2406.11704, 2024 | 14 | 2024 |
| PeTra: A Sparsely Supervised Memory Model for People Tracking S Toshniwal, A Ettinger, K Gimpel, K Livescu ACL 2020, 2020 | 8 | 2020 |
Karen LivescuTTI-ChicagoVerified email at ttic.edu
