Follow
Sidharth Mudgal
Sidharth Mudgal
Google Deepmind
Verified email at google.com
Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22092023
Deep learning for entity matching: A design space exploration
S Mudgal, H Li, T Rekatsinas, AH Doan, Y Park, G Krishnan, R Deep, ...
Proceedings of the 2018 international conference on management of data, 19-34, 2018
7142018
Generalizing word embeddings using bag of subwords
J Zhao, S Mudgal, Y Liang
arXiv preprint arXiv:1809.04259, 2018
592018
Controlled decoding from language models
S Mudgal, J Lee, H Ganapathy, YG Li, T Wang, Y Huang, Z Chen, ...
arXiv preprint arXiv:2310.17022, 2023
462023
Human-in-the-loop challenges for entity matching: A midterm report
AH Doan, A Ardalan, J Ballard, S Das, Y Govind, P Konda, H Li, S Mudgal, ...
Proceedings of the 2nd workshop on human-in-the-loop data analytics, 1-6, 2017
352017
Entity matching meets data science: A progress report from the magellan project
Y Govind, P Konda, P Suganthan GC, P Martinkus, P Nagarajan, H Li, ...
Proceedings of the 2019 International Conference on Management of Data, 389-403, 2019
272019
Toward a system building agenda for data integration
AH Doan, A Ardalan, JR Ballard, S Das, Y Govind, P Konda, H Li, ...
arXiv preprint arXiv:1710.00027, 2017
202017
A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational ai systems
S Park, H Li, A Patel, S Mudgal, S Lee, YB Kim, S Matsoukas, R Sarikaya
arXiv preprint arXiv:2010.12251, 2020
172020
Continuous learning for large-scale personalized domain classification
H Li, J Lee, S Mudgal, R Sarikaya, YB Kim
arXiv preprint arXiv:1905.00921, 2019
52019
Deep learning for semantic matching: A survey
H Li, Y Govind, S Mudgal, T Rekatsinas, AH Doan
Journal of Computer Science and Cybernetics 37 (4), 365-402, 2021
42021
Using machine translation to localize task oriented nlg output
S Roy, C Brunk, KY Kim, J Zhao, M Freitag, M Kale, G Bansal, S Mudgal, ...
arXiv preprint arXiv:2107.04512, 2021
12021
Blockwise controlled decoding of natural language (nl) based output generated using a large language model (llm) to reduce latency in rendering thereof
S Mudgal, A Beirami, J Chen, A Beutel, H Ganapathy, Y Li, T Wang, ...
US Patent App. 18/225,990, 2024
2024
Streaming of natural language (nl) based output generated using a large language model (llm) to reduce latency in rendering thereof
M Baeuml, Y Huang, W Jia, C Lan, Y Xu, AHN Junwhan, A Bailey, ...
US Patent App. 18/136,634, 2024
2024
Is Your Web Server Suffering from Undue Stress due to Duplicate Requests?
FA Arshad, AK Maji, S Mudgal, S Bagchi
11th International Conference on Autonomic Computing (ICAC 14), 105-111, 2014
2014
The system can't perform the operation now. Try again later.
Articles 1–14