Shyam Upadhyay

According to our database, Shyam Upadhyay authored at least 35 papers between 2015 and 2023.

Collaborative distances:

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

2023

AutoMix: Automatically Mixing Language Models.

Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui

CoRR, 2023

How FaR Are Large Language Models From Agents with Theory-of-Mind?

Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui

CoRR, 2023

Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions?

Xiang Zhou, Aditya Gupta, Shyam Upadhyay, Mohit Bansal, Manaal Faruqui

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Efficient Encoders for Streaming Sequence Tagging.

Ayush Kaushal, Aditya Gupta, Shyam Upadhyay, Manaal Faruqui

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

CST5: Data Augmentation for Code-Switched Semantic Parsing.

Anmol Agarwal, Jigar Gupta, Rahul Goel, Shyam Upadhyay, Pankaj Joshi, Rengarajan Aravamudhan

CoRR, 2022

Streaming Intended Query Detection using E2E Modeling for Continued Conversation.

Shuo-Yiin Chang, Guru Prakash, Zelin Wu, Tara N. Sainath, Bo Li, Qiao Liang, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman

Proceedings of the Interspeech 2022, 2022

TableFormer: Robust Transformer Modeling for Table-Text Encoding.

Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TIMEDIAL: Temporal Commonsense Reasoning in Dialog.

Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering.

Aditya Gupta, Jiacheng Xu, Shyam Upadhyay, Diyi Yang, Manaal Faruqui

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019

Attention Interpretability Across NLP Tasks.

Shikhar Vashishth, Shyam Upadhyay, Gaurav Singh Tomar, Manaal Faruqui

CoRR, 2019

Toward any-language zero-shot topic classification of textual documents.

Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Stephen Mayhew, Dan Roth

Artif. Intell., 2019

Combining Discourse Markers and Cross-lingual Embeddings for Synonym-Antonym Classification.

Michael Roth, Shyam Upadhyay

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

A General-Purpose Algorithm for Constrained Sequential Inference.

Daniel Deutsch, Shyam Upadhyay, Dan Roth

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages.

Shyam Upadhyay, Jordan Kodner, Dan Roth

CoRR, 2018

Robust Cross-Lingual Hypernymy Detection Using Dependency Context.

Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences.

Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

CogCompNLP: Your Swiss Army Knife for NLP.

Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

(Almost) Zero-Shot Cross-Lingual Spoken Language Understanding.

Shyam Upadhyay, Manaal Faruqui, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages.

Shyam Upadhyay, Jordan Kodner, Dan Roth

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

Joint Multilingual Supervision for Cross-lingual Entity Linking.

Shyam Upadhyay, Nitish Gupta, Dan Roth

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

2017

UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference.

Chase Duncan, Liang-Wei Chan, Haoruo Peng, Hao Wu, Shyam Upadhyay, Nitish Gupta, Chen-Tse Tsai, Mark Sammons, Dan Roth

Proceedings of the 2017 Text Analysis Conference, 2017

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.

Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

A Consolidated Open Knowledge Representation for Multiple Texts.

Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martínez-Cámara, Iryna Gurevych, Ido Dagan

Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems.

Shyam Upadhyay, Ming-Wei Chang

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Cross-Lingual Dataless Classification for Many Languages.

Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Dan Roth

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems.

Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Equation Parsing : Mapping Sentences to Grounded Equations.

Subhro Roy, Shyam Upadhyay, Dan Roth

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Revisiting the Evaluation for Cross Document Event Coreference.

Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth

Proceedings of the COLING 2016, 2016

"Making the News": Identifying Noteworthy Events in News Articles.

Shyam Upadhyay, Christos Christodoulopoulos, Dan Roth

Proceedings of the Fourth Workshop on Events, 2016

Cross-lingual Models of Word Embeddings: An Empirical Comparison.

Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Distributed Training of Structured SVM.

Ching-Pei Lee, Kai-Wei Chang, Shyam Upadhyay, Dan Roth

CoRR, 2015

IllinoisSL: A JAVA Library for Structured Prediction.

Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth

CoRR, 2015

The University of Illinois submission to the WMT 2015 Shared Translation Task.

Lane Schwartz, Bill Bryce, Chase Geigle, Sean Massung, Yisi Liu, Haoruo Peng, Vignesh Raja, Subhro Roy, Shyam Upadhyay

Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems.

Mark Sammons, Haoruo Peng, Yangqiu Song, Shyam Upadhyay, Chen-Tse Tsai, Pavankumar Reddy, Subhro Roy, Dan Roth

Proceedings of the 2015 Text Analysis Conference, 2015

Structural Learning with Amortized Inference.

Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015