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Saket Dingliwal
Saket Dingliwal
Applied Scientist, AWS AI Labs
Verifisert e-postadresse på amazon.com
Tittel
Sitert av
Sitert av
År
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
542022
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
322023
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
302024
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
252021
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
122020
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
82023
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
72023
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
42023
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
22024
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
22024
Literature survey on finding influential communities in large scale networks
P Ganesh, S Dingliwal, R Agarwal
arXiv preprint arXiv:1902.01629, 2019
22019
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
12024
CVC4-SymBreak: derived SMT solver at SMT competition 2019
S Dingliwal, R Agarwal, H Mittal, P Singla
CoRR, abs/1908.00860, 2019
12019
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
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