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2020 – today
- 2024
[c22]Mooho Song, Jay-Yoon Lee:
An Analysis under a Unified Formulation of Learning Algorithms with Output Constraints. ACL (Student Research Workshop) 2024: 482-498- [c21]Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum:
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation. ACL (1) 2024: 14201-14214 - [c20]Sungkyung Kim, Adam Lee, Junyoung Park, Andrew Chung, Jusang Oh, Jay-Yoon Lee:
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks. EMNLP (Findings) 2024: 15155-15165 - [c19]Kiseung Kim, Jay-Yoon Lee:
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation. EMNLP 2024: 22149-22161 - [c18]Jonghyun Song, Cheyon Jin, Wenlong Zhao, Andrew McCallum, Jay-Yoon Lee:
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval. EMNLP 2024: 22255-22269 - [i17]Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee:
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval. CoRR abs/2405.12801 (2024) - [i16]Yikyung Kim, Jay-Yoon Lee:
Case-Based Reasoning Approach for Solving Financial Question Answering. CoRR abs/2405.13044 (2024) - [i15]Mooho Song, Jay-Yoon Lee:
An Analysis under a Unified Fomulation of Learning Algorithms with Output Constraints. CoRR abs/2406.01647 (2024) - [i14]Kiseung Kim, Jay-Yoon Lee:
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation. CoRR abs/2406.05794 (2024) - [i13]Hye Ryung Son, Jay-Yoon Lee:
Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation. CoRR abs/2407.00740 (2024) - [i12]Seong-Il Park, Seung-Woo Choi, Na-Hyun Kim, Jay-Yoon Lee:
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning. CoRR abs/2408.04414 (2024) - [i11]Sungkyung Kim, Adam Lee, Junyoung Park, Andrew Chung, Jusang Oh, Jay-Yoon Lee:
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks. CoRR abs/2410.09489 (2024) - [i10]Gahyun Yoo, Jay Yoon Lee:
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation. CoRR abs/2410.10228 (2024) - [i9]Seung-Woo Choi, Gahyun Yoo, Jay-Yoon Lee:
IntGrad MT: Eliciting LLMs' Machine Translation Capabilities with Sentence Interpolation and Gradual MT. CoRR abs/2410.11693 (2024) - [i8]Seong-Il Park, Jay-Yoon Lee:
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models. CoRR abs/2410.15107 (2024) - 2023
- [c17]Zhiyang Xu, Jay Yoon Lee, Lifu Huang:
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation. ACL (Findings) 2023: 10421-10437 - [c16]Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum:
Machine Reading Comprehension using Case-based Reasoning. EMNLP (Findings) 2023: 8414-8428 - [i7]Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum:
Machine Reading Comprehension using Case-based Reasoning. CoRR abs/2305.14815 (2023) - [i6]Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum:
Multistage Collaborative Knowledge Distillation from Large Language Models. CoRR abs/2311.08640 (2023) - 2022
- [c15]EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang
, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum:
Event-Event Relation Extraction using Probabilistic Box Embedding. ACL (2) 2022: 235-244 - [c14]Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum:
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning. AutoML 2022: 19/1-18 - [c13]Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum:
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings. ICLR 2022 - [c12]Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhao, Zhiyang Xu, Andrew McCallum:
Structured Energy Network As a Loss. NeurIPS 2022 - 2021
- [c11]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Summarization via Structured Representations. EACL 2021: 2575-2585 - [c10]Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum:
Improved Latent Tree Induction with Distant Supervision via Span Constraints. EMNLP (1) 2021: 4818-4831 - [c9]Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum:
Case-based Reasoning for Natural Language Queries over Knowledge Bases. EMNLP (1) 2021: 9594-9611 - [i5]Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum:
Case-based Reasoning for Natural Language Queries over Knowledge Bases. CoRR abs/2104.08762 (2021) - [i4]Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum:
Improved Latent Tree Induction with Distant Supervision via Span Constraints. CoRR abs/2109.05112 (2021) - 2020
- [c8]Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau:
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios. AAAI 2020: 8344-8351 - [i3]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR abs/2003.00576 (2020)
2010 – 2019
- 2019
- [c7]Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Gradient-Based Inference for Networks with Output Constraints. AAAI 2019: 4147-4154 - 2018
- [c6]Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell:
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. EMNLP 2018: 4958-4963 - [i2]Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell:
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. CoRR abs/1808.09543 (2018) - 2017
- [c5]Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation. AKBC@NIPS 2017 - [i1]Jay Yoon Lee, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell:
Enforcing Constraints on Outputs with Unconstrained Inference. CoRR abs/1707.08608 (2017) - 2014
- [c4]U Kang, Jay Yoon Lee, Danai Koutra, Christos Faloutsos:
Net-Ray: Visualizing and Mining Billion-Scale Graphs. PAKDD (1) 2014: 348-361 - [c3]Yibin Lin, Agha Ali Raza, Jay Yoon Lee, Danai Koutra, Roni Rosenfeld, Christos Faloutsos:
Influence Propagation: Patterns, Model and a Case Study. PAKDD (1) 2014: 386-397 - 2013
- [c2]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:
Detecting insider threats in a real corporate database of computer usage activity. KDD 2013: 1393-1401 - [c1]Jay Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos:
Fast anomaly detection despite the duplicates. WWW (Companion Volume) 2013: 195-196
Coauthor Index
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last updated on 2024-11-28 21:29 CET by the dblp team
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