Jay Pujara

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 97

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR (2024)
Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. CoRR (2024)
Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee, Jay Pujara
Integrating Pre-Trained Language Model with Physical Layer Communications. CoRR (2024)
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. CoRR (2023)
Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, Sujay Kumar Jauhar
Making Large Language Models Better Data Creators. EMNLP (2023)
Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling. CoRR (2023)
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. EACL (2023)
Lee Kezar, Jay Pujara
Finding Pragmatic Differences Between Disciplines. CoRR (2023)
Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling. EMNLP (Findings) (2023)
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. ACL (demo) (2023)
Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park
Analyzing Norm Violations in Live-Stream Chat. CoRR (2023)
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) (2023)
Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park
Analyzing Norm Violations in Live-Stream Chat. EMNLP (2023)
Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
Faithful Persona-based Conversational Dataset Generation with Large Language Models. CoRR (2023)
Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen W. White, Sujay Kumar Jauhar
Making Large Language Models Better Data Creators. CoRR (2023)
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. EMNLP (2023)
Avijit Thawani, Jay Pujara, Ashwin Kalyan
Estimating Numbers without Regression. CoRR (2023)
Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara
PubGraph: A Large Scale Scientific Temporal Knowledge Graph. CoRR (2023)
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
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR (2023)
Ana Iglesias-Molina, Kian Ahrabian, Filip Ilievski, Jay Pujara, Óscar Corcho
Comparison of Knowledge Graph Representations for Consumer Scenarios. ISWC (2023)
Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. EMNLP (2022)
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. ACL (1) (2022)
Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen, Thomas Choi, Jay Pujara, Joongheon Kim
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model. CoRR (2022)
Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. CoRR (2022)
Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor
Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. NeSy (2022)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. ACL (1) (2022)
Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. CoRR (2022)
Thiloshon Nagarajah, Filip Ilievski, Jay Pujara
Understanding Narratives through Dimensions of Analogy. CoRR (2022)
Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR (2022)
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. CoRR (2022)
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR (2022)
Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro A. Szekely
Evaluating Machine Common Sense via Cloze Testing. CoRR (2022)
Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. EMNLP (2022)
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer. CoRR (2022)
Filip Ilievski, Jay Pujara, Kartik Shenoy
Does Wikidata Support Analogical Reasoning? CoRR (2022)
Filip Ilievski, Jay Pujara, Kartik Shenoy
Does Wikidata Support Analogical Reasoning? KGSWC (2022)
Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. ACL (1) (2022)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. CoRR (2021)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation. CoRR (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR (2021)
Binh Vu, Craig A. Knoblock, Pedro A. Szekely, Minh Pham, Jay Pujara
A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. ISWC (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. EMNLP (1) (2021)
Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely
Representing Numbers in NLP: a Survey and a Vision. NAACL-HLT (2021)
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. CoRR (2021)
Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely
Learning cell embeddings for understanding table layouts. Knowl. Inf. Syst. 63 (1) (2021)
Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. CoRR (2021)
Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tür
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. SIGDIAL (2021)
Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. EMNLP (1) (2021)
Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. IJCAI (2021)
Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski
Representing Numbers in NLP: a Survey and a Vision. CoRR (2021)
Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11 (2) (2021)
Kexuan Sun, Harsha Rayudu, Jay Pujara
A Hybrid Probabilistic Approach for Table Understanding. AAAI (2021)
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
Table-based Fact Verification With Salience-aware Learning. EMNLP (Findings) (2021)
Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren
Probing Causal Common Sense in Dialogue Response Generation. CoRR (2021)
Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. CIKM (2021)
Avijit Thawani, Jay Pujara, Filip Ilievski
Numeracy enhances the Literacy of Language Models. EMNLP (1) (2021)
Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen
From Tables to Knowledge: Recent Advances in Table Understanding. KDD (2021)
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. CoRR (2021)
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
Table-based Fact Verification with Salience-aware Learning. CoRR (2021)
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR (2021)
Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
Probing Commonsense Explanation in Dialogue Response Generation. EMNLP (Findings) (2021)
Pegah Jandaghi, Jay Pujara
Human-like Time Series Summaries via Trend Utility Estimation. CoRR (2020)
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. CoRR (2020)
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. ACM Trans. Interact. Intell. Syst. 10 (4) (2020)
Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark D. Flood, John Grant, Joe Langsam, Jay Pujara, Elena Tomas, Ian Soboroff
Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD (2019)
Avijit Thawani, Minda Hu, Erdong Hu, Husain Zafar, Naren Teja Divvala, Amandeep Singh, Ehsan Qasemi, Pedro A. Szekely, Jay Pujara
Entity Linking to Knowledge Graphs to Infer Column Types and Properties. SemTab@ISWC (2019)
Jay Pujara, Arunkumar Rajendran, Majid Ghasemi-Gol, Pedro A. Szekely
A Common Framework for Developing Table Understanding Models. ISWC (Satellites) (2019)
Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely
Tabular Cell Classification Using Pre-Trained Cell Embeddings. ICDM (2019)
Minh Pham, Craig A. Knoblock, Jay Pujara
Learning Data Transformations with Minimal User Effort. IEEE BigData (2019)
Jay Pujara, Kartik D. Kothari, Ashish V. Gohil
Statistical investigation of surface roughness and kerf on wire electrical discharge machining performance. Int. J. Manuf. Res. 14 (3) (2019)
Pedro A. Szekely, Daniel Garijo, Jay Pujara, Divij Bhatia, Jiasheng Wu
T2WML: A Cell-Based Language to Map Tables into Wikidata Records. ISWC (Satellites) (2019)
Binh Vu, Craig A. Knoblock, Jay Pujara
Learning Semantic Models of Data Sources Using Probabilistic Graphical Models. WWW (2019)
Pedro A. Szekely, Daniel Garijo, Divij Bhatia, Jiasheng Wu, Yixiang Yao, Jay Pujara
T2WML: Table To Wikidata Mapping Language. K-CAP (2019)
Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion (2019)
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
Personalized explanations for hybrid recommender systems. IUI (2019)
Yixiang Yao, Pedro A. Szekely, Jay Pujara
Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. DSMM@SIGMOD (2019)
Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
Collective entity resolution in multi-relational familial networks. Knowl. Inf. Syst. 61 (3) (2019)
Binh Vu, Jay Pujara, Craig A. Knoblock
D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF. K-CAP (2019)
Jay Pujara, Sameer Singh
Mining Knowledge Graphs From Text. WSDM (2018)
Jay Pujara
Hybrid Link Prediction for Competitor Relationships. DSMM@SIGMOD (2018)
Dhanya Sridhar, Jay Pujara, Lise Getoor
Scalable Probabilistic Causal Structure Discovery. IJCAI (2018)
Louiqa Raschid, Douglas Burdick, John Grant, Joe Langsam, Jay Pujara, Elizabeth Roman, Ian Soboroff, Mohammed J. Zaki, Elena Zotkina
Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD (2018)
Rahul Gupta, Jay Pujara, Craig A. Knoblock, Shushyam M. Sharanappa, Bharat Pulavarti, Gerard Hoberg, Gordon Phillips
Feature Selection Methods For Understanding Business Competitor Relationships. DSMM@SIGMOD (2018)
Dhanya Sridhar, Jay Pujara, Lise Getoor
Using Noisy Extractions to Discover Causal Knowledge. AKBC@NIPS (2017)
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
User Preferences for Hybrid Explanations. RecSys (2017)
Dhanya Sridhar, Jay Pujara, Lise Getoor
Using Noisy Extractions to Discover Causal Knowledge. CoRR (2017)
Sabina Tomkins, Jay Pujara, Lise Getoor
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. IJCAI (2017)
Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor
Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW (2017)
Jay Pujara
Extracting Knowledge Graphs from Financial Filings: Extended Abstract. DSMM@SIGMOD (2017)
Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
Collective Entity Resolution in Familial Networks. ICDM (2017)
Jay Pujara, Eriq Augustine, Lise Getoor
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. EMNLP (2017)
Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. CoRR (2016)
Jay Pujara, Lise Getoor
Generic Statistical Relational Entity Resolution in Knowledge Graphs. CoRR (2016)
Shachi H. Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff
Unsupervised models for predicting strategic relations between organizations. ASONAM (2016)
Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor
RELLY: Inferring Hypernym Relationships Between Relational Phrases. EMNLP (2015)
Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
Using Semantics and Statistics to Turn Data into Knowledge. AI Mag. 36 (1) (2015)
Jay Pujara, Ben London, Lise Getoor
Budgeted Online Collective Inference. UAI (2015)
Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
Knowledge Graph Identification. ISWC (1) (2013)
Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
Large-Scale Knowledge Graph Identification Using PSL. AAAI Fall Symposia (2013)
Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
Ontology-aware partitioning for knowledge graph identification. AKBC@CIKM (2013)

Jay Pujara.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jay Pujara