Jay Pujara - RankMe

130 papers A* 22A 6B 4C 1Misc 3Journal 54Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs. CoRR Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara, Craig A. Knoblock
2026	J	`jnl`	Toward Better Temporal Structures for Geopolitical Events Forecasting. CoRR Kian Ahrabian, Eric Boxer, Jay Pujara
2025	—	`conf`	A Practical Analysis of Human Alignment with *PO. NAACL (Findings) Kian Ahrabian, Xihui Lin, Barun Patra, Vishrav Chaudhary, Alon Benhaim, Jay Pujara, Xia Song
2025	A*	`conf`	A Systematic Analysis of Base Model Choice for Reward Modeling. EMNLP Kian Ahrabian, Pegah Jandaghi, Negar Mokhberian, Sai Praneeth Karimireddy, Jay Pujara
2025	J	`jnl`	A Systematic Analysis of Base Model Choice for Reward Modeling. CoRR Kian Ahrabian, Pegah Jandaghi, Negar Mokhberian, Sai Praneeth Karimireddy, Jay Pujara
2025	J	`jnl`	LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning. CoRR Navapat Nananukul, Yue Zhang, Ryan Lee, Eric Boxer, Jonathan May, Vibhav Giridhar Gogate, Jay Pujara, Mayank Kejriwal
2025	J	`jnl`	REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation. CoRR Dong-Ho Lee, Adyasha Maharana, Jay Pujara, Xiang Ren, Francesco Barbieri
2025	—	`conf`	Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models. ACL (Findings) Yifan Jiang, Kriti Aggarwal, Tanmay Laud, Kashif Munir, Jay Pujara, Subhabrata Mukherjee
2025	J	`jnl`	What is a Good Question? Utility Estimation with LLM-based Simulations. CoRR Dong-Ho Lee, Hyundong Cho, Jonathan May, Jay Pujara
2024	—	`conf`	Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. LREC/COLING Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti
2024	—	`conf`	Faithful Persona-based Conversational Dataset Generation with Large Language Models. ACL (Findings) Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
2024	J	`jnl`	Integrating Pre-Trained Language Model With Physical Layer Communications. IEEE Trans. Wirel. Commun. Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee, Jay Pujara
2024	J	`jnl`	Integrating Pre-Trained Language Model with Physical Layer Communications. CoRR Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee, Jay Pujara
2024	A*	`conf`	Knowledge-Powered Recommendation for an Improved Diet Water Footprint. AAAI Saurav Joshi, Filip Ilievski, Jay Pujara
2024	J	`jnl`	Knowledge-Powered Recommendation for an Improved Diet Water Footprint. CoRR Saurav Joshi, Filip Ilievski, Jay Pujara
2024	A*	`conf`	MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. NeurIPS Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara
2024	J	`jnl`	MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. CoRR Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara
2024	J	`jnl`	On The Adaptation of Unlimiformer for Decoder-Only Transformers. CoRR Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song
2024	—	`conf`	On the Adaptation of Unlimiformer for Decoder-Only Transformers. LREC/COLING Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song
2024	J	`jnl`	RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking. CoRR Yifan Jiang, Kriti Aggarwal, Tanmay Laud, Kashif Munir, Jay Pujara, Subhabrata Mukherjee
2024	A*	`conf`	SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures. NeurIPS Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
2024	J	`jnl`	Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
2024	J	`jnl`	Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis. CoRR Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman
2024	J	`jnl`	The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. CoRR Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara
2024	J	`jnl`	The Hitchhiker's Guide to Human Alignment with *PO. CoRR Kian Ahrabian, Xihui Lin, Barun Patra, Vishrav Chaudhary, Alon Benhaim, Jay Pujara, Xia Song
2023	A*	`conf`	Analyzing Norm Violations in Live-Stream Chat. EMNLP Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park
2023	J	`jnl`	Analyzing Norm Violations in Live-Stream Chat. CoRR Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park
2023	A	`conf`	AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. EACL Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
2023	—	`ch.`	Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models. Compendium of Neurosymbolic Artificial Intelligence Filip Ilievski, Kaixin Ma, Alessandro Oltramari, Peifeng Wang, Jay Pujara
2023	—	`conf`	Citation Intent Classification Through Weakly Supervised Knowledge Graphs. SDU@AAAI Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara
2023	Misc	`conf`	Comparison of Knowledge Graph Representations for Consumer Scenarios. ISWC Ana Iglesias-Molina, Kian Ahrabian, Filip Ilievski, Jay Pujara, Óscar Corcho
2023	J	`jnl`	Estimating Numbers without Regression. CoRR Avijit Thawani, Jay Pujara, Ashwin Kalyan
2023	J	`jnl`	Faithful Persona-based Conversational Dataset Generation with Large Language Models. CoRR Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
2023	J	`jnl`	Finding Pragmatic Differences Between Disciplines. CoRR Lee Kezar, Jay Pujara
2023	J	`jnl`	How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR 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
2023	—	`conf`	I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
2023	—	`conf`	Is Dynamicity All You Need? SDU@AAAI Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara
2023	—	`conf`	Learn Your Tokens: Word-Pooled Tokenization for Language Modeling. EMNLP (Findings) Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara
2023	J	`jnl`	Learn Your Tokens: Word-Pooled Tokenization for Language Modeling. CoRR Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara
2023	A*	`conf`	Making Large Language Models Better Data Creators. EMNLP Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, Sujay Kumar Jauhar
2023	J	`jnl`	Making Large Language Models Better Data Creators. CoRR Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen W. White, Sujay Kumar Jauhar
2023	J	`jnl`	PubGraph: A Large Scale Scientific Temporal Knowledge Graph. CoRR Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara
2023	Misc	`conf`	SEQ2SEQ-SC: End-To-End Semantic Communication Systems with Pre-Trained Language Model. ACSSC Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen, Thomas Choi, Jay Pujara
2023	A*	`conf`	Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. EMNLP Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
2023	J	`jnl`	Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. CoRR Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
2023	—	`conf`	XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. ACL (demo) Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
2022	J	`jnl`	An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
2022	A*	`conf`	Assessing Scientific Research Papers with Knowledge Graphs. SIGIR Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara
2022	—	`conf`	Does Wikidata Support Analogical Reasoning? KGSWC Filip Ilievski, Jay Pujara, Kartik Shenoy
2022	J	`jnl`	Does Wikidata Support Analogical Reasoning? CoRR Filip Ilievski, Jay Pujara, Kartik Shenoy
2022	J	`jnl`	Evaluating Machine Common Sense via Cloze Testing. CoRR Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro A. Szekely
2022	A*	`conf`	FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. EMNLP Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
2022	J	`jnl`	FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. CoRR Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
2022	—	`conf`	Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. ACL (1) Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
2022	—	`conf`	Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. ACL (1) Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
2022	J	`jnl`	Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer. CoRR Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
2022	A*	`conf`	Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. EMNLP Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
2022	J	`jnl`	Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. CoRR Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
2022	J	`jnl`	Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model. CoRR Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen, Thomas Choi, Jay Pujara, Joongheon Kim
2022	—	`conf`	Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. ACL (1) Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
2022	J	`jnl`	Understanding Narratives through Dimensions of Analogy. CoRR Thiloshon Nagarajah, Filip Ilievski, Jay Pujara
2022	C	`conf`	Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. NeSy Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor
2022	J	`jnl`	XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. CoRR Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
2021	Misc	`conf`	A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. ISWC Binh Vu, Craig A. Knoblock, Pedro A. Szekely, Minh Pham, Jay Pujara
2021	A*	`conf`	A Hybrid Probabilistic Approach for Table Understanding. AAAI Kexuan Sun, Harsha Rayudu, Jay Pujara
2021	J	`jnl`	Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 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
2021	J	`jnl`	AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. CoRR Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
2021	B	`conf`	Commonsense-Focused Dialogues for Response Generation: An Empirical Study. SIGDIAL Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tür
2021	J	`jnl`	Commonsense-Focused Dialogues for Response Generation: An Empirical Study. CoRR Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
2021	A*	`conf`	From Tables to Knowledge: Recent Advances in Table Understanding. KDD Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen
2021	J	`jnl`	Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. CoRR Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren
2021	—	`conf`	Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. EMNLP (1) Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
2021	J	`jnl`	Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
2021	J	`jnl`	Learning cell embeddings for understanding table layouts. Knowl. Inf. Syst. Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely
2021	—	`conf`	Numeracy enhances the Literacy of Language Models. EMNLP (1) Avijit Thawani, Jay Pujara, Filip Ilievski
2021	J	`jnl`	Probing Causal Common Sense in Dialogue Response Generation. CoRR Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren
2021	—	`conf`	Probing Commonsense Explanation in Dialogue Response Generation. EMNLP (Findings) Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
2021	—	`conf`	RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. EMNLP (1) Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
2021	—	`conf`	Representing Numbers in NLP: a Survey and a Vision. NAACL-HLT Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely
2021	J	`jnl`	Representing Numbers in NLP: a Survey and a Vision. CoRR Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski
2021	A*	`conf`	Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
2021	J	`jnl`	Retrieving Complex Tables with Multi-Granular Graph Representation Learning. CoRR Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
2021	A*	`conf`	SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. IJCAI Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara
2021	—	`conf`	Table-based Fact Verification With Salience-aware Learning. EMNLP (Findings) Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
2021	J	`jnl`	Table-based Fact Verification with Salience-aware Learning. CoRR Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
2021	A	`conf`	Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. CIKM Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara
2021	J	`jnl`	Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation. CoRR Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur
2020	J	`jnl`	Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. CoRR Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara
2020	J	`jnl`	Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. ACM Trans. Interact. Intell. Syst. Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
2020	J	`jnl`	Human-like Time Series Summaries via Trend Utility Estimation. CoRR Pegah Jandaghi, Jay Pujara
2020	—	`ed.`	Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, DSMM 2020, In conjunction with the ACM SIGMOD/PODS Conference, Portland, OR, USA, June 14, 2020. DSMM@SIGMOD Douglas Burdick, Jay Pujara
2019	—	`conf`	A Common Framework for Developing Table Understanding Models. ISWC (Satellites) Jay Pujara, Arunkumar Rajendran, Majid Ghasemi-Gol, Pedro A. Szekely
2019	—	`conf`	An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion 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
2019	J	`jnl`	Collective entity resolution in multi-relational familial networks. Knowl. Inf. Syst. Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
2019	B	`conf`	D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF. K-CAP Binh Vu, Jay Pujara, Craig A. Knoblock
2019	—	`conf`	Entity Linking to Knowledge Graphs to Infer Column Types and Properties. SemTab@ISWC Avijit Thawani, Minda Hu, Erdong Hu, Husain Zafar, Naren Teja Divvala, Amandeep Singh, Ehsan Qasemi, Pedro A. Szekely, Jay Pujara
2019	—	`conf`	Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. DSMM@SIGMOD Yixiang Yao, Pedro A. Szekely, Jay Pujara
2019	—	`conf`	Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark D. Flood, John Grant, Joe Langsam, Jay Pujara, Elena Tomas, Ian Soboroff
2019	—	`conf`	Learning Data Transformations with Minimal User Effort. IEEE BigData Minh Pham, Craig A. Knoblock, Jay Pujara
2019	A*	`conf`	Learning Semantic Models of Data Sources Using Probabilistic Graphical Models. WWW Binh Vu, Craig A. Knoblock, Jay Pujara
2019	A	`conf`	Personalized explanations for hybrid recommender systems. IUI Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
2019	J	`jnl`	Statistical investigation of surface roughness and kerf on wire electrical discharge machining performance. Int. J. Manuf. Res. Jay Pujara, Kartik D. Kothari, Ashish V. Gohil
2019	—	`conf`	T2WML: A Cell-Based Language to Map Tables into Wikidata Records. ISWC (Satellites) Pedro A. Szekely, Daniel Garijo, Jay Pujara, Divij Bhatia, Jiasheng Wu
2019	B	`conf`	T2WML: Table To Wikidata Mapping Language. K-CAP Pedro A. Szekely, Daniel Garijo, Divij Bhatia, Jiasheng Wu, Yixiang Yao, Jay Pujara
2019	A*	`conf`	Tabular Cell Classification Using Pre-Trained Cell Embeddings. ICDM Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely
2018	—	`conf`	Feature Selection Methods For Understanding Business Competitor Relationships. DSMM@SIGMOD Rahul Gupta, Jay Pujara, Craig A. Knoblock, Shushyam M. Sharanappa, Bharat Pulavarti, Gerard Hoberg, Gordon Phillips
2018	—	`conf`	Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee. DSMM@SIGMOD Louiqa Raschid, Douglas Burdick, John Grant, Joe Langsam, Jay Pujara, Elizabeth Roman, Ian Soboroff, Mohammed J. Zaki, Elena Zotkina
2018	—	`conf`	Hybrid Link Prediction for Competitor Relationships. DSMM@SIGMOD Jay Pujara
2018	A	`conf`	Mining Knowledge Graphs From Text. WSDM Jay Pujara, Sameer Singh
2018	A*	`conf`	Scalable Probabilistic Causal Structure Discovery. IJCAI Dhanya Sridhar, Jay Pujara, Lise Getoor
2017	A*	`conf`	Collective Entity Resolution in Familial Networks. ICDM Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
2017	A*	`conf`	Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. IJCAI Sabina Tomkins, Jay Pujara, Lise Getoor
2017	—	`conf`	Extracting Knowledge Graphs from Financial Filings: Extended Abstract. DSMM@SIGMOD Jay Pujara
2017	A*	`conf`	Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor
2017	A*	`conf`	Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. EMNLP Jay Pujara, Eriq Augustine, Lise Getoor
2017	A	`conf`	User Preferences for Hybrid Explanations. RecSys Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
2017	—	`conf`	Using Noisy Extractions to Discover Causal Knowledge. AKBC@NIPS Dhanya Sridhar, Jay Pujara, Lise Getoor
2017	J	`jnl`	Using Noisy Extractions to Discover Causal Knowledge. CoRR Dhanya Sridhar, Jay Pujara, Lise Getoor
2016	J	`jnl`	Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. CoRR Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor
2016	J	`jnl`	Generic Statistical Relational Entity Resolution in Knowledge Graphs. CoRR Jay Pujara, Lise Getoor
2016	—	`—`	Probabilistic Models for Scalable Knowledge Graph Construction. Jay Pujara
2016	—	`ed.`	Proceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC@NAACL-HLT 2016, San Diego, CA, USA, June 17, 2016 AKBC@NAACL-HLT Jay Pujara, Tim Rocktäschel, Danqi Chen, Sameer Singh
2016	B	`conf`	Unsupervised models for predicting strategic relations between organizations. ASONAM Shachi H. Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff
2015	A	`conf`	Budgeted Online Collective Inference. UAI Jay Pujara, Ben London, Lise Getoor
2015	A*	`conf`	RELLY: Inferring Hypernym Relationships Between Relational Phrases. EMNLP Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor
2015	J	`jnl`	Using Semantics and Statistics to Turn Data into Knowledge. AI Mag. Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	—	`conf`	Knowledge Graph Identification. ISWC (1) Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	—	`conf`	Large-Scale Knowledge Graph Identification Using PSL. AAAI Fall Symposia Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2013	—	`conf`	Ontology-aware partitioning for knowledge graph identification. AKBC@CIKM Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen
2011	—	`conf`	Using classifier cascades for scalable e-mail classification. CEAS Jay Pujara, Hal Daumé III, Lise Getoor