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ORCIDSidharth Mudgal
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2020 – today
- 2024
[c8]Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami:
Controlled Decoding from Language Models. ICML 2024- 2023
- [i5]Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami:
Controlled Decoding from Language Models. CoRR abs/2310.17022 (2023) - 2021
- [c7]Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya:
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems. EMNLP (1) 2021: 6054-6063 - [i4]Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano:
Using Machine Translation to Localize Task Oriented NLG Output. CoRR abs/2107.04512 (2021) - 2020
- [i3]Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya:
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems. CoRR abs/2010.12251 (2020)
2010 – 2019
- 2019
- [c6]Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim:
Continuous Learning for Large-scale Personalized Domain Classification. NAACL-HLT (1) 2019: 3784-3794 - [c5]Yash Govind, Pradap Konda, Paul Suganthan G. C., Philip Martinkus, Palaniappan Nagarajan, Han Li, Aravind Soundararajan, Sidharth Mudgal, Jeffrey R. Ballard, Haojun Zhang, Adel Ardalan, Sanjib Das, Derek Paulsen, Amanpreet Singh Saini, Erik Paulson, Youngchoon Park, Marshall Carter, Mingju Sun, Glenn Moo Fung, AnHai Doan:
Entity Matching Meets Data Science: A Progress Report from the Magellan Project. SIGMOD Conference 2019: 389-403 - [i2]Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim:
Continuous Learning for Large-scale Personalized Domain Classification. CoRR abs/1905.00921 (2019) - 2018
- [j1]AnHai Doan, Pradap Konda, Paul Suganthan G. C., Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Han Li, Philip Martinkus, Sidharth Mudgal, Erik Paulson, Haojun Zhang:
Toward a System Building Agenda for Data Integration (and Data Science). IEEE Data Eng. Bull. 41(2): 35-46 (2018) - [c4]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. EMNLP 2018: 601-606 - [c3]Sidharth Mudgal, Han Li, Theodoros Rekatsinas
, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra:
Deep Learning for Entity Matching: A Design Space Exploration. SIGMOD Conference 2018: 19-34 - [i1]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. CoRR abs/1809.04259 (2018) - 2017
- [c2]AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Pradap Konda, Han Li, Sidharth Mudgal, Erik Paulson, Paul Suganthan G. C., Haojun Zhang:
Human-in-the-Loop Challenges for Entity Matching: A Midterm Report. HILDA@SIGMOD 2017: 12:1-12:6 - 2014
- [c1]Fahad A. Arshad, Amiya Kumar Maji, Sidharth Mudgal, Saurabh Bagchi:
Is Your Web Server Suffering from Undue Stress due to Duplicate Requests? ICAC 2014: 105-111
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