Structural Learning with Amortized Inference. - Kai-Wei Chang; Shyam Upadhyay; Gourab Kundu; Dan Roth 001 (AAAI, 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 001 (TAC, 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 (WMT@EMNLP, 2015)

IllinoisSL: A JAVA Library for Structured Prediction. - Kai-Wei Chang; Shyam Upadhyay; Ming-Wei Chang; Vivek Srikumar; Dan Roth 001 (CoRR, 2015)

Distributed Training of Structured SVM. - Ching-Pei Lee; Kai-Wei Chang; Shyam Upadhyay; Dan Roth 001 (CoRR, 2015)

Cross-lingual Models of Word Embeddings: An Empirical Comparison. - Shyam Upadhyay; Manaal Faruqui; Chris Dyer; Dan Roth 001 (ACL (1), 2016)

"Making the News": Identifying Noteworthy Events in News Articles. - Shyam Upadhyay; Christos Christodoulopoulos 001; Dan Roth 001 (EVENTS@HLT-NAACL, 2016)

Revisiting the Evaluation for Cross Document Event Coreference. - Shyam Upadhyay; Nitish Gupta; Christos Christodoulopoulos 001; Dan Roth 001 (COLING, 2016)

Equation Parsing : Mapping Sentences to Grounded Equations. - Subhro Roy; Shyam Upadhyay; Dan Roth 001 (EMNLP, 2016)

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. - Shyam Upadhyay; Ming-Wei Chang; Kai-Wei Chang; Wen-tau Yih (EMNLP, 2016)

Cross-Lingual Dataless Classification for Many Languages. - Yangqiu Song; Shyam Upadhyay; Haoruo Peng; Dan Roth 001 (IJCAI, 2016)

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. - Shyam Upadhyay; Ming-Wei Chang (EACL (1), 2017)

A Consolidated Open Knowledge Representation for Multiple Texts. - Rachel Wities; Vered Shwartz; Gabriel Stanovsky; Meni Adler; Ori Shapira; Shyam Upadhyay; Dan Roth 001; Eugenio Martínez-Cámara; Iryna Gurevych; Ido Dagan (LSDSem@EACL, 2017)

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. - Shyam Upadhyay; Kai-Wei Chang; Matt Taddy; Adam Kalai; James Y. Zou (Rep4NLP@ACL, 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 034; Shyam Upadhyay; Nitish Gupta; Chen-Tse Tsai; Mark Sammons; Dan Roth 001 (TAC, 2017)

Joint Multilingual Supervision for Cross-lingual Entity Linking. - Shyam Upadhyay; Nitish Gupta; Dan Roth 001 (EMNLP, 2018)

Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. - Shyam Upadhyay; Jordan Kodner; Dan Roth 001 (EMNLP, 2018)

(Almost) Zero-Shot Cross-Lingual Spoken Language Understanding. - Shyam Upadhyay; Manaal Faruqui; Gökhan Tür; Dilek Hakkani-Tür; Larry P. Heck (ICASSP, 2018)

CogCompNLP: Your Swiss Army Knife for NLP. - Daniel Khashabi; Mark Sammons; Ben Zhou; Tom Redman; Christos Christodoulopoulos 001; Vivek Srikumar; Nicholas Rizzolo; Lev-Arie Ratinov; Guanheng Luo; Quang Do; Chen-Tse Tsai; Subhro Roy; et al. (LREC, 2018)

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. - Daniel Khashabi; Snigdha Chaturvedi; Michael Roth 001; Shyam Upadhyay; Dan Roth 001 (NAACL-HLT, 2018)

Robust Cross-Lingual Hypernymy Detection Using Dependency Context. - Shyam Upadhyay; Yogarshi Vyas; Marine Carpuat; Dan Roth 001 (NAACL-HLT, 2018)

Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages. - Shyam Upadhyay; Jordan Kodner; Dan Roth 001 (CoRR, 2018)

A General-Purpose Algorithm for Constrained Sequential Inference. - Daniel Deutsch; Shyam Upadhyay; Dan Roth 001 (CoNLL, 2019)

Combining Discourse Markers and Cross-lingual Embeddings for Synonym-Antonym Classification. - Michael Roth 001; Shyam Upadhyay (NAACL-HLT (1), 2019)

Toward any-language zero-shot topic classification of textual documents. - Yangqiu Song; Shyam Upadhyay; Haoruo Peng; Stephen Mayhew 001; Dan Roth 001 (Artif. Intell., 2019)

Attention Interpretability Across NLP Tasks. - Shikhar Vashishth; Shyam Upadhyay; Gaurav Singh Tomar; Manaal Faruqui (CoRR, 2019)

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering. - Aditya Gupta; Jiacheng Xu; Shyam Upadhyay; Diyi Yang; Manaal Faruqui (ACL/IJCNLP (Findings), 2021)

TIMEDIAL: Temporal Commonsense Reasoning in Dialog. - Lianhui Qin; Aditya Gupta; Shyam Upadhyay; Luheng He; Yejin Choi 001; Manaal Faruqui (ACL/IJCNLP (1), 2021)

TableFormer: Robust Transformer Modeling for Table-Text Encoding. - Jingfeng Yang 001; Aditya Gupta; Shyam Upadhyay; Luheng He; Rahul Goel; Shachi Paul (ACL (1), 2022)

Streaming Intended Query Detection using E2E Modeling for Continued Conversation. - Shuo-Yiin Chang; Guru Prakash; Zelin Wu; Tara N. Sainath; Bo Li 028; Qiao Liang 001; Adam Stambler; Shyam Upadhyay; Manaal Faruqui; Trevor Strohman (INTERSPEECH, 2022)

CST5: Data Augmentation for Code-Switched Semantic Parsing. - Anmol Agarwal; Jigar Gupta; Rahul Goel; Shyam Upadhyay; Pankaj Joshi; Rengarajan Aravamudhan (CoRR, 2022)

Efficient Encoders for Streaming Sequence Tagging. - Ayush Kaushal; Aditya Gupta; Shyam Upadhyay; Manaal Faruqui (EACL, 2023)

Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? - Xiang Zhou; Aditya Gupta; Shyam Upadhyay; Mohit Bansal; Manaal Faruqui (*SEM@ACL, 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 001; Swaroop Mishra; Aida Nematzadeh; Shyam Upadhyay; Manaal Faruqui (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

AutoMix: Automatically Mixing Language Models. - Pranjal Aggarwal; Aman Madaan; Ankit Anand; Srividya Pranavi Potharaju; Swaroop Mishra; Pei Zhou; Aditya Gupta; Dheeraj Rajagopal; Karthik Kappaganthu; Yiming Yang; Shyam Upadhyay; Manaal Faruqui; et al. (NeurIPS, 2024)

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation. - Satyapriya Krishna; Kalpesh Krishna; Anhad Mohananey; Steven Schwarcz; Adam Stambler; Shyam Upadhyay; Manaal Faruqui (NAACL (Long Papers), 2025)

Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs. - Kartikeya Badola; Jonathan Simon; Arian Hosseini; Sara Marie Mc Carthy; Tsendsuren Munkhdalai; Abhimanyu Goyal; Tomás Kociský; Shyam Upadhyay; Bahare Fatemi; Mehran Kazemi (CoRR, 2025)