Jay-Yoon Lee

According to our database, Jay-Yoon Lee authored at least 21 papers between 2013 and 2023.

Collaborative distances:

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

2023

Multistage Collaborative Knowledge Distillation from Large Language Models.

Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum

CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum

CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation.

Zhiyang Xu, Jay Yoon Lee, Lifu Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Structured Energy Network As a Loss.

Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Label Space Interactions in Multi-label Classification using Box Embeddings.

Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum

Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning.

Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum

Proceedings of the International Conference on Automated Machine Learning, 2022

Event-Event Relation Extraction using Probabilistic Box Embedding.

EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Improved Latent Tree Induction with Distant Supervision via Span Constraints.

Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases.

Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

StructSum: Summarization via Structured Representations.

Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization.

Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov

CoRR, 2020

Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios.

Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Gradient-Based Inference for Networks with Output Constraints.

Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Towards Semi-Supervised Learning for Deep Semantic Role Labeling.

Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell

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

2017

Enforcing Constraints on Outputs with Unconstrained Inference.

Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell

CoRR, 2017

Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation.

Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2014

Influence Propagation: Patterns, Model and a Case Study.

Yibin Lin, Agha Ali Raza, Jay Yoon Lee, Danai Koutra, Roni Rosenfeld, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Net-Ray: Visualizing and Mining Billion-Scale Graphs.

U Kang, Jay Yoon Lee, Danai Koutra, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

Fast anomaly detection despite the duplicates.

Jay Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos

Proceedings of the 22nd International World Wide Web Conference, 2013

Detecting insider threats in a real corporate database of computer usage activity.

Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013