Preprint

• STAR: A Simple Training-free Approach for Recommendations using Large Language Models
  Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H. Chi, Xinyang Yi
  ArXiv
  

2024

• PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
  Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang and Francesco Barbieri
  ACL 2024
  

• Evaluating Very Long-Term Conversational Memory of LLM Agents
  Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri and Yuwei Fang
  ACL 2024
  

• Integrating Pre-Trained Language Model with Physical Layer Communications
  Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee and Jay Pujara
  IEEE TWC 2024
  

• Improving Covert Toxicity Detection by Retrieving and Generating References
  Dong-Ho Lee, Hyundong J. Cho, Woojeong Jin, Jihyung Moon, Sungjoon Park, Paul Rottger, Jay Pujara and Roy Ka-Wei Lee
  NAACL WOAH 2024
  

2023

• Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
  Dong-Ho Lee*, Kian Ahrabian*, Woojeong Jin, Fred Morstatter, Jay Pujara
  EMNLP 2023
  Github Poster

• 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
  EMNLP 2023
  Media Slides Poster

• Making Large Language Models Better Data Creators
  Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen W White, Sujay Kumar Jauhar
  EMNLP 2023
  Github Slides Poster

• 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, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
  ACL 2023 (System Demo)
  Project Github

• AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction
  Dong-Ho Lee*, Ravi Kiran Selvam*, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren
  EACL 2023
  Best paper award at NAACL 2021 Workshop on TrustNLP Workshop

• 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
  IEEE Asilomar 2023
  

2022

• Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality
  Pei Zhou, Hyundong J. Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren
  EMNLP 2022
  Project Github

• 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
  ACL 2022
  Github

• 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
  ACL 2022
  Github

• 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
  SIGIR 2022
  

2021

• Perhaps PTLMs should go to School – A Task to Assess Open Book and Closed Book QA
  Manuel Ciosici, Joe Cecil, Alex Hedges, Dong-Ho Lee, Marjorie Freedman, Ralph Weischedel
  EMNLP 2021
  

• Improving Text Auto-Completion with Next Phrase Prediction
  Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee
  EMNLP 2021 (Findings)
  

• ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
  Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
  ACL 2021
  Project

• RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge
  Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren
  ACL 2021 (Findings)
  Project

• Pre-training Text-to-Text Transformers for Concept-centric Common Sense
  Wangchunshu Zhou*, Dong-Ho Lee*, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren
  ICLR 2021
  Project Github

2020

• TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
  Bill Yuchen Lin*, Dong-Ho Lee*, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
  ACL 2020
  Project Github

• LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
  Dong-Ho Lee*, Rahul Khanna*, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves and Xiang Ren
  ACL 2020 (System Demo)
  Project Github