Sunjae Kwon

39 papers A* 3A 1B 1C 1Journal 21Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Chatbot To Help Patients Understand Their Health.
EMNLP (Findings)
Won Seok Jang, Hieu Tran, Manav Mistry, SaiKiran Gandluri, Yifan Zhang, Sharmin Sultana, Sunjae Kwon, Yuan Zhang, Zonghai Yao, Hong Yu
2025 A* conf
DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge.
EMNLP
Zonghai Yao, Michael Sun, Won Seok Jang, Sunjae Kwon, Soie Kwon, Hong Yu
2025 J jnl
DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge.
CoRR
Zonghai Yao, Michael Sun, Won Seok Jang, Sunjae Kwon, Soie Kwon, Hong Yu
2025 J jnl
Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation.
CoRR
Won Seok Jang, Sharmin Sultana, Zonghai Yao, Hieu Tran, Zhichao Yang, Sunjae Kwon, Hong Yu
2025 — conf
Enhancing Multilingual Medical Summarization via Contextual Keyword Augmentation.
CLEF (Working Notes)
Md. Shahidul Salim, Lianne Fu, Arav Adikesh Ramakrishnan, Sunjae Kwon, Zonghai Yao, Hong Yu
2024 J jnl
Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History.
CoRR
Lingxi Li, Zonghai Yao, Sunjae Kwon, Hong Yu
2024 — conf
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes.
ClinicalNLP@NAACL
Zhichao Yang, Avijit Mitra, Sunjae Kwon, Hong Yu
2024 J jnl
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes.
CoRR
Zhichao Yang, Avijit Mitra, Sunjae Kwon, Hong Yu
2024 — conf
Is It Safe to Cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing.
UR
Hochul Hwang, Sunjae Kwon, Yekyung Kim, Donghyun Kim
2024 J jnl
Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing.
CoRR
Hochul Hwang, Sunjae Kwon, Yekyung Kim, Donghyun Kim
2024 J jnl
Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction.
CoRR
Jung Hoon Lim, Sunjae Kwon, Zonghai Yao, John P. Lalor, Hong Yu
2024 — conf
ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection.
NAACL-HLT
Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel I. Reisman, Wenjun Li, Robert D. Kerns, William Becker, Hong Yu
2024 — conf
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.
EMNLP (Findings)
Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu
2024 — conf
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis.
ClinicalNLP@NAACL
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, Sunjae Kwon, Junda Wang, Hong Yu
2024 J jnl
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis.
CoRR
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, Junda Wang, Sunjae Kwon, Hong Yu
2023 J jnl
An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization.
Softw. Qual. J.
Sunjae Kwon, Duksan Ryu, Jongmoon Baik
2023 J jnl
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports.
CoRR
Ye Eun Chun, Sunjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byungki Seo, Kevin Compher, Seung-won Hwang, Jaesik Choi
2023 — conf
CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports.
EMNLP (Findings)
Ye Eun Chun, Sunjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byoung Seo, Kevin Compher, Seung-won Hwang, Jaesik Choi
2023 J jnl
Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures.
J. Web Eng.
Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2023 — conf
Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation.
ICWE Workshops
Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2023 A* conf
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt.
AAAI
Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu
2023 J jnl
ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection.
CoRR
Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel I. Reisman, Wenjun Li, Robert D. Kerns, William Becker, Hong Yu
2023 J jnl
Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems.
J. Web Eng.
Sunjae Kwon, Sungu Lee, Duksan Ryu, Jongmoon Baik
2023 J jnl
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.
CoRR
Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu
2023 — conf
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information.
ACL (1)
Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu
2023 J jnl
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information.
CoRR
Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu
2022 J jnl
An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning.
CoRR
Sunjae Kwon, Zhichao Yang, Hong Yu
2022 — conf
CodeBERT Based Software Defect Prediction for Edge-Cloud Systems.
ICWE Workshops
Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik
2022 A* conf
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score.
EMNLP
Sunjae Kwon, Zonghai Yao, Harmon S. Jordan, David A. Levy, Brian Corner, Hong Yu
2022 J jnl
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score.
CoRR
Sunjae Kwon, Zonghai Yao, Harmon S. Jordan, David A. Levy, Brian Corner, Hong Yu
2022 J jnl
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt.
CoRR
Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu
2022 J jnl
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?
CoRR
Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi
2021 J jnl
Word sense disambiguation based on context selection using knowledge-based word similarity.
Inf. Process. Manag.
Sunjae Kwon, Dongsuk Oh, Youngjoong Ko
2021 C conf
eCPDP: Early Cross-Project Defect Prediction.
QRS
Sunjae Kwon, Duksan Ryu, Jongmoon Baik
2019 J jnl
Effective vector representation for the Korean named-entity recognition.
Pattern Recognit. Lett.
Sunjae Kwon, Youngjoong Ko, Jungyun Seo
2019 J jnl
Why Do Masked Neural Language Models Still Need Common Sense Knowledge?
CoRR
Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi
2018 B conf
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph.
COLING
Dongsuk O, Sunjae Kwon, Kyungsun Kim, Youngjoong Ko
2017 — conf
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains.
DDDSM@IJCNLP
Juae Kim, Sunjae Kwon, Youngjoong Ko, Jungyun Seo
2017 A conf
A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information.
CIKM
Sunjae Kwon, Youngjoong Ko, Jungyun Seo