Jay Pujara
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
20
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models. | Yifan Jiang, Kriti Aggarwal, Tanmay Laud, Kashif Munir, Jay Pujara, Subhabrata Mukherjee |
| 2025 | EMNLP | A Systematic Analysis of Base Model Choice for Reward Modeling. | Kian Ahrabian, Pegah Jandaghi, Negar Mokhberian, Sai Praneeth Karimireddy, Jay Pujara |
| 2025 | NAACL | A Practical Analysis of Human Alignment with *PO. | Kian Ahrabian, Xihui Lin, Barun Patra, Vishrav Chaudhary, Alon Benhaim, Jay Pujara, Xia Song |
| 2024 | AAAI | Knowledge-Powered Recommendation for an Improved Diet Water Footprint. | Saurav Joshi, Filip Ilievski, Jay Pujara |
| 2024 | ACL | Faithful Persona-based Conversational Dataset Generation with Large Language Models. | Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed |
| 2024 | COLING | Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. | Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti |
| 2024 | COLING | On the Adaptation of Unlimiformer for Decoder-Only Transformers. | Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song |
| 2023 | AAAI | Citation Intent Classification Through Weakly Supervised Knowledge Graphs. | Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara |
| 2023 | AAAI | Is Dynamicity All You Need? | Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara |
| 2023 | ACL | XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. | Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren |
| 2023 | ACL | I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. | Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu |
| 2023 | ACSSC | SEQ2SEQ-SC: End-To-End Semantic Communication Systems with Pre-Trained Language Model. | Ju-Hyung Lee, Dong-Ho Lee, Eunsoo Sheen, Thomas Choi, Jay Pujara |
| 2023 | EACL | AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. | Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren |
| 2023 | EMNLP | Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. | Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara |
| 2023 | EMNLP | Making Large Language Models Better Data Creators. | Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, Sujay Kumar Jauhar |
| 2023 | EMNLP | Analyzing Norm Violations in Live-Stream Chat. | Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park |
| 2023 | EMNLP | Learn Your Tokens: Word-Pooled Tokenization for Language Modeling. | Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara |
| 2022 | ACL | Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. | Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren |
| 2022 | ACL | Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. | Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren |
| 2022 | ACL | Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. | Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur |
| 2022 | EMNLP | FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. | Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang |
| 2022 | EMNLP | Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. | Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren |
| 2022 | NeSy | Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. | Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor |
| 2022 | SIGIR | Assessing Scientific Research Papers with Knowledge Graphs. | Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara |
| 2021 | AAAI | A Hybrid Probabilistic Approach for Table Understanding. | Kexuan Sun, Harsha Rayudu, Jay Pujara |
| 2021 | CIKM | Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. | Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara |
| 2021 | EMNLP | Table-based Fact Verification With Salience-aware Learning. | Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen |
| 2021 | EMNLP | Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. | Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan |
| 2021 | EMNLP | Numeracy enhances the Literacy of Language Models. | Avijit Thawani, Jay Pujara, Filip Ilievski |
| 2021 | EMNLP | Probing Commonsense Explanation in Dialogue Response Generation. | Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren |
| 2021 | EMNLP | RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. | Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren |
| 2021 | IJCAI | SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. | Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara |
| 2021 | KDD | From Tables to Knowledge: Recent Advances in Table Understanding. | Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen |
| 2021 | NAACL | Representing Numbers in NLP: a Survey and a Vision. | Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely |
| 2021 | SIGIR | Retrieving Complex Tables with Multi-Granular Graph Representation Learning. | Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely |
| 2021 | SIGdial | Commonsense-Focused Dialogues for Response Generation: An Empirical Study. | Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tr |
| 2019 | ICDM | Tabular Cell Classification Using Pre-Trained Cell Embeddings. | Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely |
| 2019 | IUI | An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. | 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 | IUI | Personalized explanations for hybrid recommender systems. | Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor |
| 2019 | WWW | Learning Semantic Models of Data Sources Using Probabilistic Graphical Models. | Binh Vu, Craig A. Knoblock, Jay Pujara |
| 2019 | SIGMOD | Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee. | Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark D. Flood, John Grant, Joe Langsam, Jay Pujara, Elena Tomas, Ian Soboroff |
| 2019 | SIGMOD | Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. | Yixiang Yao, Pedro A. Szekely, Jay Pujara |
| 2018 | IJCAI | Scalable Probabilistic Causal Structure Discovery. | Dhanya Sridhar, Jay Pujara, Lise Getoor |
| 2018 | SIGMOD | Feature Selection Methods For Understanding Business Competitor Relationships. | Rahul Gupta, Jay Pujara, Craig A. Knoblock, Shushyam M. Sharanappa, Bharat Pulavarti, Gerard Hoberg, Gordon Phillips |
| 2018 | SIGMOD | Hybrid Link Prediction for Competitor Relationships. | Jay Pujara |
| 2018 | SIGMOD | Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee. | Louiqa Raschid, Douglas Burdick, John Grant, Joe Langsam, Jay Pujara, Elizabeth Roman, Ian Soboroff, Mohammed J. Zaki, Elena Zotkina |
| 2018 | WSDM | Mining Knowledge Graphs From Text. | Jay Pujara, Sameer Singh |
| 2017 | EMNLP | Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. | Jay Pujara, Eriq Augustine, Lise Getoor |
| 2017 | ICDM | Collective Entity Resolution in Familial Networks. | Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor |
| 2017 | IJCAI | Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. | Sabina Tomkins, Jay Pujara, Lise Getoor |
| 2017 | RecSys | User Preferences for Hybrid Explanations. | Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor |
| 2017 | WWW | Probabilistic Visitor Stitching on Cross-Device Web Logs. | Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor |
| 2017 | SIGMOD | Extracting Knowledge Graphs from Financial Filings: Extended Abstract. | Jay Pujara |
| 2015 | EMNLP | RELLY: Inferring Hypernym Relationships Between Relational Phrases. | Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor |
| 2015 | UAI | Budgeted Online Collective Inference. | Jay Pujara, Ben London, Lise Getoor |
| 2013 | CIKM | Ontology-aware partitioning for knowledge graph identification. | Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen |