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Shubham Toshniwal
Shubham Toshniwal
Senior Research Scientist, NVIDIA
Dirección de correo verificada de nvidia.com - Página principal
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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
7442023
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
2722018
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
1992019
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
1782018
Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition
S Toshniwal, H Tang, L Lu, K Livescu
Interspeech 2017, 2017
1262017
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
882019
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
74*2017
Jointly learning to align and convert graphemes to phonemes with neural attention models
S Toshniwal, K Livescu
SLT 2016, 2016
542016
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
S Toshniwal, S Wiseman, A Ettinger, K Livescu, K Gimpel
EMNLP 2020, 2020
512020
Generating natural language dialog using a questions corpus
J Ajmera, AK Gupta, S Joshi, S Toshniwal
US Patent 10,049,152, 2018
502018
Hierarchical multitask learning for ctc-based speech recognition
K Krishna, S Toshniwal, K Livescu
arXiv preprint arXiv:1807.06234, 2018
492018
A Cross-Task Analysis of Text Span Representations
S Toshniwal, H Shi, B Shi, L Gao, K Livescu, K Gimpel
RepL4NLP 2020, 2020
372020
On Generalization in Coreference Resolution
S Toshniwal, P Xia, S Wiseman, K Livescu, K Gimpel
CRAC@EMNLP 2021, 2021
322021
Learning Chess Blindfolded: Evaluating Language Models on State Tracking
S Toshniwal, S Wiseman, K Livescu, K Gimpel
AAAI 2022, 2022
25*2022
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
212023
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
152015
Learning to reason and memorize with self-notes
J Lanchantin, S Toshniwal, J Weston, S Sukhbaatar
NeurIPS 2023, 2023
112023
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
S Toshniwal, I Moshkov, S Narenthiran, D Gitman, F Jia, I Gitman
arXiv preprint arXiv:2402.10176, 2024
72024
PeTra: A Sparsely Supervised Memory Model for People Tracking
S Toshniwal, A Ettinger, K Gimpel, K Livescu
ACL 2020, 2020
72020
Read, attend and pronounce: An attention-based approach for grapheme-to-phoneme conversion
S Toshniwal, K Livescu
Workshop on Machine Learning in Speech and Language Processing (MLSLP …, 2016
72016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20