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Publications

- List of papers published/submitted to peer reviewed conferences/journals.

- Asterix (*) denotes joint first author, i.e., equal contribution.

2023

• Parameter-Efficient fine-tuning of InstructBLIP for Visual Reasoning Tasks
  Sungkyung Kim, Adam Lee, Junyoung Park, Sounho Chung, Jusang Oh, Jay-Yoon Lee
  ENLSP workshop at NeurIPS 2023, Nov 2023
  [ paper ][ code ]
• Machine Reading Comprehension using Case-based Reasoning
  Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum
  EMNLP 2023, Dec 2023
  [ paper ][ code ]
• Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation
  Zhiyang Xu, Jay-Yoon Lee, Lifu Huang
  ACL 2023, July 2023
  [ paper ][ code ]

2022

• Structured Energy Network As a Loss
  Jay-Yoon Lee, Dhruvesh Patel, Purujit Goyal, Wenlong Zhano, Zhiyang Xu, Andrew McCallum
  NeurIPS 2022, Dec 2022
  [ paper ][ code ]

• Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
  Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum
  AutoML-conf 2022, Sept 2022
  [ paper ][ code ]

• Consistent Event-Event Relation Extraction using Box Embeddings
  EunJeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum
  ACL2022-short, May 2022
  [ paper ]

• Modeling label space interactions in MLC using box embeddings
  Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
  ICLR2022, Apr 2022
  [ paper ]

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
  EMNLP2021, hybrid conference, Nov 2021
  [ paper ]

• 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
  EMNLP2021, hybrid conference, Nov 2021
  [ paper ]

• StructSum: Summarization via Structured Representations
  Vidhisha Balachandran, Artidoro Pagnoni, Jay-Yoon Lee, Dheeraj Rajagopal, Jaime G Carbonell, Yulia Tsvetkov
  EACL2021, virtual conference, April 2021
  [ paper ]

~2020

• PhD Thesis: Injecting output constraints into neural NLP models
  July 2020
  Jay-Yoon Lee
  [ paper ]

• Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
  Jay-Yoon Lee*, KyungTae Lim*, Jaime Carbonell, Thierry Poibeau
  AAAI2020, New York, USA, Feb 2020
  [ paper ]

• Gradient-based Inference for Networks with Output Constraints
  Jay-Yoon Lee, Sanket Vaibhav Mehta, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell
  AAAI2019, Hawaii, USA, Jan 2019
  [ paper ]

• Towards Semi-Supervised Learning for Deep Semantic Role Labeling
  Jay-Yoon Lee*, Sanket Vaibhav Mehta*, Jaime Carbonell
  EMNLP2018, Brussels, Belgium, Oct 2018
  [ paper ]

• Enforcing constraints on outputs with unconstrained inference
  Jay-Yoon Lee, Michael Wick, Jean-Baptiste Tristan, Jaime Carbonell
  NIPS workshop AKBC, Dec 2017
  [ paper: longer verison ]

• Preferential Attachment in Graphs with Affinities
  Jay-Yoon Lee*, Manzil Zaheer*, Stephan Günnemann, Alex Smola,
  AISTATS 2015, San Diego, CA, USA, May 2015
  [paper]

• Net-Ray: Visualizing and Mining Billion-Scale Graphs
  U Kang, Jay-Yoon Lee, Danai Koutra, Christos Faloutsos,
  PAKDD 2014, Tainan, Taiwan, May 2014
  [paper]

• Influence Propagation: Patterns, Model and Case Study
  Yibin Lin, Agha Ali Raza, Jay-Yoon Lee, Danai Koutra, Roni Rosenfeld, Christos Faloutsos,
  PAKDD 2014, Tainan, Taiwan, May 2014
  [paper]

• Fast Anomaly Detection despite the Duplicates
  Jay-Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos,
  WWW 2013, Rio de Janeiro, Brazil, May 2013
  [paper] [poster]

• Detecting insider threats in a real corporate database of computer usage activity
  Ted E. Senator, Jay-Yoon Lee et al.,
  KDD 2013, Chicago, IL, August 2013
  [paper]

• Fast Anomaly Detection given Duplicates
  Jay-Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos,
  CMU Computer Science Technical Reports 2012
  [paper]