Embedded Files
Preprints
Preprints
Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks [paper]
Mooho Song, Hye Ryung Son, Jay-Yoon Lee
preprint, Mar 2025
GraphCheck: Multi-Path Fact-Checking with Entity-Relationship Graphs [paper]
Hyewon Jeon, Jay-Yoon Lee
preprint, Feb 2025
Mind the Gap: Aligning the Brain with Language Models Requires a Nonlinear and Multimodal Approach [paper]
Danny Dongyeop Han, Yunju Cho, Jiwook Cha, Jay-Yoon Lee
preprint, Feb 2025
Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation [paper]
Hye Ryung Son, Jay-Yoon Lee
preprint, June 2024
2024
2024
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation [paper]
Kiseung Kim, Jay-Yoon Lee
EMNLP 2024, Nov 2024
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval [paper]
Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee
EMNLP 2024, Nov 2024
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models [paper]
Seong-Il Park, Jay-Yoon Lee
TACL 2024, Oral at EMNLP 2024 (also appeared in CKAIA 2024, nonarchival), Nov 2024
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks [paper]
Sungkyung Kim, Adam Lee, Junyoung Park, Andrew Chung, Jusang Oh, Jay-Yoon Lee
Findings of EMNLP 2024, Nov 2024
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning [paper]
SeongIl Park, Seungwoo Choi, Nahyun Kim, Jay-Yoon Lee
ACL 2024 Workshop KnowledgeNLP, Aug 2024
An Analysis under a Unified Formulation of Learning Algorithms with Output Constraints [paper]
Mooho Song, Jay-Yoon Lee
ACL 2024 Student Research Workshop, Aug 2024
Generalizing Numerical Reasoning in table data through utilization of Primitive Descriptions and self-supervised learning [paper]
Hanjun Cho, Hanseong Kim, Jay-Yoon Lee
CKAIA 2024, Aug 2024
A Unified Formulation and Analysis of Learning Algorithms with Output Constraints [paper]
Mooho Song, Jay-Yoon Lee
CKAIA 2024, Aug 2024
Case-Based Reasoning Approach for Solving Financial Question Answering [paper]
Yikyung Kim, Jay-Yoon Lee
CKAIA 2024, Aug 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation [paper]
Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum
ACL 2024, Feb 2024
2023
2023
Machine Reading Comprehension using Case-based Reasoning [paper]
Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
Findings of EMNLP 2023, Dec 2023
Parameter-Efficient fine-tuning of InstructBLIP for Visual Reasoning Tasks [paper] [code]
Sungkyung Kim, Adam Lee, Junyoung Park, Sounho Chung, Jusang Oh, Jay-Yoon Lee
ENLSP workshop at NeurIPS 2023, Nov 2023
Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation [paper]
Zhiyang Xu, Jay-Yoon Lee, Lifu Huang
Findings of ACL 2023, July 2023
2022
2022
Structured Energy Network As a Loss [paper] [code]
Jay-Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhano, Zhiyang Xu, Andrew McCallum
NeurIPS 2022, Dec 2022
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning [paper] [code]
Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum
AutoML-conf 2022, Sept 2022
Event-Event Relation Extraction using Box Embeddings [paper]
EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum
ACL 2022-short, May 2022
Modeling label space interactions in MLC using box embeddings [paper]
Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
ICLR 2022, Apr 2022
2021
2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints [paper]
Zhiyang Xu∗, Andrew Drozdov∗, Jay-Yoon Lee, Tim O’Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum
EMNLP 2021, hybrid conference, Nov 2021
Case-based Reasoning for Natural Language Queries over Knowledge Bases [paper]
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
EMNLP 2021, hybrid conference, Nov 2021
StructSum: Summarization via Structured Representations [paper]
Vidhisha Balachandran, Artidoro Pagnoni, Jay-Yoon Lee, Dheeraj Rajagopal, Jaime G Carbonell, Yulia Tsvetkov
EACL 2021, virtual conference, April 2021
~2020
~2020
Injecting output constraints into neural NLP models [paper]
Jay-Yoon Lee
July 2020, part of PhD Thesis
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios [paper]
Jay-Yoon Lee*, KyungTae Lim*, Jaime Carbonell, Thierry Poibeau
AAAI 2020, New York, USA, Feb 2020
Gradient-based Inference for Networks with Output Constraints [paper]
Jay-Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell
AAAI 2019, Hawaii, USA, Jan 2019
Towards Semi-Supervised Learning for Deep Semantic Role Labeling [paper]
Jay-Yoon Lee*, Sanket Vaibhav Mehta*, Jaime Carbonell
EMNLP 2018, Brussels, Belgium, Oct 2018
Enforcing constraints on outputs with unconstrained inference [paper: longer version]
Jay-Yoon Lee, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell
NIPS workshop AKBC, Dec 2017
Preferential Attachment in Graphs with Affinities [paper]
Jay-Yoon Lee*, Manzil Zaheer*, Stephan Günnemann, Alex Smola
AISTATS 2015, San Diego, CA, USA, May 2015
Net-Ray: Visualizing and Mining Billion-Scale Graphs [paper]
U Kang, Jay-Yoon Lee, Danai Koutra, Christos Faloutsos
PAKDD 2014, Tainan, Taiwan, May 2014
Influence Propagation: Patterns, Model and Case Study [paper]
Yibin Lin, Agha Ali Raza, Jay-Yoon Lee, Danai Koutra, Roni Rosenfeld, Christos Faloutsos
PAKDD 2014, Tainan, Taiwan, May 2014
Fast Anomaly Detection despite the Duplicates [paper] [poster]
Jay-Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos
WWW 2013, Rio de Janeiro, Brazil, May 2013
Detecting insider threats in a real corporate database of computer usage activity [paper]
Ted E. Senator, Jay-Yoon Lee et al.
KDD 2013, Chicago, IL, August 2013
Fast Anomaly Detection given Duplicates [paper]
Jay-Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos
CMU Computer Science Technical Reports 2012
- Asterix (*) denotes joint first author, i.e., equal contribution.
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