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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
7562023
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
2742018
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
1272017
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
75*2017
Jointly learning to align and convert graphemes to phonemes with neural attention models
S Toshniwal, K Livescu
SLT 2016, 2016
552016
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
512018
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
392020
On Generalization in Coreference Resolution
S Toshniwal, P Xia, S Wiseman, K Livescu, K Gimpel
CRAC@EMNLP 2021, 2021
332021
Chess as a testbed for language model state tracking
S Toshniwal, S Wiseman, K Livescu, K Gimpel
AAAI 2022 36 (10), 11385-11393, 2022
26*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
222023
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
92024
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