Sidharth Mudgal

According to our database, Sidharth Mudgal authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Controlled Decoding from Language Models.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021

Using Machine Translation to Localize Task Oriented NLG Output.

Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano

CoRR, 2021

A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems.

Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Entity Matching Meets Data Science: A Progress Report from the Magellan Project.

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

Proceedings of the 2019 International Conference on Management of Data, 2019

Continuous Learning for Large-scale Personalized Domain Classification.

Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Toward a System Building Agenda for Data Integration (and Data Science).

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

IEEE Data Eng. Bull., 2018

Deep Learning for Entity Matching: A Design Space Exploration.

Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra

Proceedings of the 2018 International Conference on Management of Data, 2018

Generalizing Word Embeddings using Bag of Subwords.

Jinman Zhao, Sidharth Mudgal, Yingyu Liang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Human-in-the-Loop Challenges for Entity Matching: A Midterm Report.

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

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

2014

Is Your Web Server Suffering from Undue Stress due to Duplicate Requests?

Fahad A. Arshad, Amiya Kumar Maji, Sidharth Mudgal, Saurabh Bagchi

Proceedings of the 11th International Conference on Autonomic Computing, 2014