Balanced Korean Word Spacing with Structural SVM. - Changki Lee; Edward Choi 003; Hyunki Kim (EMNLP, 2014)

I-SMILE: Similarity based Just-in-time Recommendation System for Public Health. - Edward Choi 003; Jina J. Dcruz; Sizhe Lin; Kelly Ryder; Aashu B. Singh; Hang Su (AMIA, 2015)

System Architecture of CDC I-SMILE Recommendation Engine. - Edward Choi 003; Jina J. Dcruz; Sizhe Lin; Aashu B. Singh; Hang Su; Kelly Ryder; Sridhar R. Papagari Sangareddy; Herman D. Tolentino; Jimeng Sun 001 (AMIA, 2015)

Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health. - Jina J. Dcruz; Kelly Ryder; Edward Choi 003; Sizhe Lin; Aashu B. Singh; Hang Su; Sridhar R. Papagari Sangareddy; Herman D. Tolentino; Jimeng Sun 001 (AMIA, 2015)

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. - Edward Choi 003; Nan Du 002; Robert Chen 001; Le Song; Jimeng Sun 001 (ICDM, 2015)

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. - Edward Choi 003; Mohammad Taha Bahadori; Jimeng Sun 001 (CoRR, 2015)

Multi-layer Representation Learning for Medical Concepts. - Edward Choi 003; Mohammad Taha Bahadori; Elizabeth Searles; Catherine Coffey; Michael Thompson; James Bost; Javier Tejedor-Sojo; Jimeng Sun 001 (KDD, 2016)

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. - Edward Choi 003; Mohammad Taha Bahadori; Andy Schuetz; Walter F. Stewart; Jimeng Sun 001 (MLHC, 2016)

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism. - Edward Choi 003; Mohammad Taha Bahadori; Jimeng Sun 001; Joshua Kulas; Andy Schuetz; Walter F. Stewart (NIPS, 2016)

Multi-layer Representation Learning for Medical Concepts. - Edward Choi 003; Mohammad Taha Bahadori; Elizabeth Searles; Catherine Coffey; Jimeng Sun 001 (CoRR, 2016)

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism. - Edward Choi 003; Mohammad Taha Bahadori; Andy Schuetz; Walter F. Stewart; Jimeng Sun 001 (CoRR, 2016)

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction. - Edward Choi 003; Andy Schuetz; Walter F. Stewart; Jimeng Sun 001 (CoRR, 2016)

GRAM: Graph-based Attention Model for Healthcare Representation Learning. - Edward Choi 003; Mohammad Taha Bahadori; Le Song; Walter F. Stewart; Jimeng Sun 001 (KDD, 2017)

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks. - Edward Choi 003; Siddharth Biswal; Bradley A. Malin; Jon Duke; Walter F. Stewart; Jimeng Sun 001 (MLHC, 2017)

Causal Regularization. - Mohammad Taha Bahadori; Krzysztof Chalupka; Edward Choi 003; Robert Chen 001; Walter F. Stewart; Jimeng Sun 001 (CoRR, 2017)

Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks. - Edward Choi 003; Siddharth Biswal; Bradley A. Malin; Jon Duke; Walter F. Stewart; Jimeng Sun 001 (CoRR, 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Tien-Ju Yang; Edward Choi 003 (CoRR, 2017)

Using recurrent neural network models for early detection of heart failure onset. - Edward Choi 003; Andy Schuetz; Walter F. Stewart; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Hao Wu; Tien-Ju Yang; Edward Choi 003 (CVPR, 2018)

Compositional Obverter Communication Learning from Raw Visual Input. - Edward Choi 003; Angeliki Lazaridou; Nando de Freitas (ICLR (Poster), 2018)

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. - Edward Choi 003; Cao Xiao; Walter F. Stewart; Jimeng Sun 001 (NeurIPS, 2018)

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. - Cao Xiao; Edward Choi 003; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2018)

Doctor AI: Interpretable deep learning for modeling electronic health records. - Edward Choi 003 (2018)

Clinical Concept Extraction for Document-Level Coding. - Sarah Wiegreffe; Edward Choi 003; Sherry Yan; Jimeng Sun 001; Jacob Eisenstein (BioNLP@ACL, 2019)

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records. - Edward Choi 003; Zhen Xu 006; Yujia Li; Michael W. Dusenberry; Gerardo Flores; Yuan Xue; Andrew M. Dai (CoRR, 2019)

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. - Bum Chul Kwon; Minje Choi; Joanne Taery Kim; Edward Choi 003; Young Bin Kim; Soonwook Kwon; Jimeng Sun 001; Jaegul Choo (IEEE Trans. Vis. Comput. Graph., 2019)

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. - Edward Choi 003; Zhen Xu 006; Yujia Li; Michael Dusenberry; Gerardo Flores; Emily Xue; Andrew M. Dai (AAAI, 2020)

Analyzing the role of model uncertainty for electronic health records. - Michael W. Dusenberry; Dustin Tran; Edward Choi 003; Jonas Kemp; Jeremy Nixon; Ghassen Jerfel; Katherine A. Heller; Andrew M. Dai (CHIL, 2020)

Neural Ordinary Differential Equations for Intervention Modeling. - Daehoon Gwak; Gyuhyeon Sim; Michael Poli; Stefano Massaroli; Jaegul Choo; Edward Choi 003 (CoRR, 2020)

Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. - Jeonghoon Park; Kyungmin Jo; Daehoon Gwak; Jimin Hong; Jaegul Choo; Edward Choi 003 (CoRR, 2020)

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. - Sunghyun Park 005; Kangyeol Kim; Junsoo Lee; Jaegul Choo; Joonseok Lee; Sookyung Kim; Edward Choi 003 (AAAI, 2021)

Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction. - Gyubok Lee; Seongjun Yang; Edward Choi 003 (ACL/IJCNLP (2), 2021)

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. - Kangyeol Kim; Sunghyun Park 005; Junsoo Lee; Joonseok Lee; Sookyung Kim; Jaegul Choo; Edward Choi 003 (BMVC, 2021)

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture. - Seongsu Bae; Daeyoung Kim; Jiho Kim; Edward Choi 003 (ML4H@NeurIPS, 2021)

Knowledge Graph-based Question Answering with Electronic Health Records. - Junwoo Park; Youngwoo Cho; Haneol Lee; Jaegul Choo; Edward Choi 003 (MLHC, 2021)

Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training. - Jong Hak Moon; Hyungyung Lee; Woncheol Shin; Edward Choi 003 (CoRR, 2021)

Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding. - Kyunghoon Hur; Jiyoung Lee; Jungwoo Oh; Wesley Price; Young-Hak Kim; Edward Choi 003 (CoRR, 2021)

Natural Attribute-based Shift Detection. - Jeonghoon Park; Jimin Hong; Radhika Dua; Daehoon Gwak; Yixuan Li 001; Jaegul Choo; Edward Choi 003 (CoRR, 2021)

Conditional Generation of Periodic Signals with Fourier-Based Decoder. - Jiyoung Lee; Wonjae Kim; Daehoon Gwak; Edward Choi 003 (CoRR, 2021)

Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. - Woncheol Shin; Gyubok Lee; Jiyoung Lee; Joonseok Lee; Edward Choi 003 (CoRR, 2021)

Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer. - Hyungyung Lee; Sungjin Park; Joonseok Lee; Edward Choi 003 (BMVC, 2022)

Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations. - Jong Hak Moon; Wonjae Kim; Edward Choi 003 (BMVC, 2022)

Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding. - Kyunghoon Hur; Jiyoung Lee; Jungwoo Oh; Wesley Price; Younghak Kim; Edward Choi 003 (CHIL, 2022)

Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records. - Daeyoung Kim; Seongsu Bae; Seungho Kim; Edward Choi 003 (CHIL, 2022)

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. - Kwanhyung Lee; Hyewon Jeong; Seyun Kim; Donghwa Yang; Hoon-Chul Kang; Edward Choi 003 (CHIL, 2022)

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram. - Jungwoo Oh; Hyunseung Chung; Joon-Myoung Kwon; Dong-gyun Hong; Edward Choi 003 (CHIL, 2022)

Graph-Text Multi-Modal Pre-training for Medical Representation Learning. - Sungjin Park; Seongsu Bae; Jiho Kim; Tackeun Kim; Edward Choi 003 (CHIL, 2022)

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. - Taehee Kim; ChaeHun Park; Jimin Hong; Radhika Dua; Edward Choi 003; Jaegul Choo (COLING, 2022)

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. - Hojun Cho; Dohee Kim; Seungwoo Ryu; ChaeHun Park; Hyungjong Noh; Jeong-In Hwang; Minseok Choi; Edward Choi 003; Jaegul Choo (EMNLP, 2022)

Specializing Multi-domain NMT via Penalizing Low Mutual Information. - Jiyoung Lee; Hantae Kim; Hyunchang Cho; Edward Choi 003; Cheonbok Park (EMNLP, 2022)

Do Language Models Understand Measurements? - Sungjin Park; Seungwoo Ryu; Edward Choi 003 (EMNLP (Findings), 2022)

Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels. - Radhika Dua; Jiyoung Lee; Joon-Myoung Kwon; Edward Choi 003 (ICPR Workshops (2), 2022)

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records. - Gyubok Lee; Hyeonji Hwang; Seongsu Bae; Yeonsu Kwon; Woncheol Shin; Seongjun Yang; Minjoon Seo; Jong-Yeup Kim; Edward Choi 003 (NeurIPS, 2022)

Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer. - Hyungyung Lee; Sungjin Park; Edward Choi 003 (CoRR, 2022)

BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing. - Jungsoo Lee; Jeonghoon Park; Daeyoung Kim; Juyoung Lee; Edward Choi 003; Jaegul Choo (CoRR, 2022)

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge. - Kyunghoon Hur; Jungwoo Oh; Junu Kim; Min Jae Lee; Eunbyeol Cho; Jiyoun Kim; Seong-Eun Moon; Young-Hak Kim; Edward Choi 003 (CoRR, 2022)

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution. - Kwanhyung Lee; John Won; Heejung Hyun; Sangchul Hahn; Edward Choi 003; Joohyung Lee 003 (CoRR, 2022)

Universal EHR Federated Learning Framework. - Junu Kim; Kyunghoon Hur; Seongjun Yang; Edward Choi 003 (CoRR, 2022)

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. - Jongseong Jang; Daeun Kyung; Seung Hwan Kim; Honglak Lee; Kyunghoon Bae; Edward Choi 003 (CoRR, 2022)

Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training. - Jong Hak Moon; Hyungyung Lee; Woncheol Shin; Young-Hak Kim; Edward Choi 003 (IEEE J. Biomed. Health Informatics, 2022)

Revisiting the Importance of Amplifying Bias for Debiasing. - Jungsoo Lee; Jeonghoon Park; Daeyoung Kim; Juyoung Lee; Edward Choi 003; Jaegul Choo (AAAI, 2023)

FactKG: Fact Verification via Reasoning on Knowledge Graphs. - Jiho Kim; Sungjin Park; Yeonsu Kwon; Yohan Jo; James Thorne; Edward Choi 003 (ACL (1), 2023)

Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table. - Sunjun Kweon; Yeonsu Kwon; Seonhee Cho; Yohan Jo; Edward Choi 003 (ACL (Findings), 2023)

Towards the Practical Utility of Federated Learning in the Medical Domain. - Hyeonji Hwang; Seongjun Yang; Daeyoung Kim; Radhika Dua; Jong-Yeup Kim; Eunho Yang; Edward Choi 003 (CHIL, 2023)

Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. - Min Jae Lee; Kyunghoon Hur; Jiyoun Kim; Jinsung Yoon; Edward Choi 003 (CHIL, 2023)

KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. - Jiho Kim; Yeonsu Kwon; Yohan Jo; Edward Choi 003 (EMNLP (Findings), 2023)

Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports. - Hyunseung Chung; Jiho Kim; Joon-Myoung Kwon; Ki-Hyun Jeon; Min Sung Lee; Edward Choi 003 (ICASSP, 2023)

Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. - Daeun Kyung; Kyungmin Jo; Jaegul Choo; Joonseok Lee; Edward Choi 003 (ICASSP, 2023)

Exploration Into Translation-Equivariant Image Quantization. - Woncheol Shin; Gyubok Lee; Jiyoung Lee; Eunyi Lyou; Joonseok Lee; Edward Choi 003 (ICASSP, 2023)

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. - Kwanhyung Lee; Soojeong Lee; Sangchul Hahn; Heejung Hyun; Edward Choi 003; Byungeun Ahn; Joohyung Lee 003 (MLHC, 2023)

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images. - Seongsu Bae; Daeun Kyung; Jaehee Ryu; Eunbyeol Cho; Gyubok Lee; Sunjun Kweon; Jungwoo Oh; Lei Ji 001; Eric I-Chao Chang; Tackeun Kim; Edward Choi 003 (NeurIPS, 2023)

VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception. - Jiyoung Lee; Seungho Kim; Seunghyun Won; Joonseok Lee; Marzyeh Ghassemi; James Thorne; Jaeseok Choi; O.-Kil Kwon; Edward Choi 003 (NeurIPS, 2023)

ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram. - Jungwoo Oh; Gyubok Lee; Seongsu Bae; Joon-Myoung Kwon; Edward Choi 003 (NeurIPS, 2023)

Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. - Junwoo Park; Jungsoo Lee; Youngin Cho; Woncheol Shin; Dongmin Kim; Jaegul Choo; Edward Choi 003 (ECML/PKDD (5), 2023)

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution. - Kwanhyung Lee; John Won; Heejung Hyun; Sangchul Hahn; Edward Choi 003; Joohyung Lee 003 (TML4H, 2023)

Task Agnostic and Post-hoc Unseen Distribution Detection. - Radhika Dua; Seongjun Yang; Yixuan Li 001; Edward Choi 003 (WACV, 2023)

Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays. - Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi 003 (CoRR, 2023)

Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records. - Eunbyeol Cho; Min Jae Lee; Kyunghoon Hur; Jiyoun Kim; Jinsung Yoon; Edward Choi 003 (CoRR, 2023)

VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. - Jiyoung Lee; Seungho Kim; Seunghyun Won; Joonseok Lee; Marzyeh Ghassemi; James Thorne; Jaeseok Choi; O.-Kil Kwon; Edward Choi 003 (CoRR, 2023)

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records. - Gyubok Lee; Sunjun Kweon; Seongsu Bae; Edward Choi 003 (ClinicalNLP@NAACL, 2024)

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes. - Sunjun Kweon; Junu Kim; Jiyoun Kim; Sujeong Im; Eunbyeol Cho; Seongsu Bae; Jungwoo Oh; Gyubok Lee; Jong Hak Moon; Seng Chan You; Seungjin Baek; Chang Hoon Han; et al. (ACL (Findings), 2024)

KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge. - Jiyoung Lee; Minwoo Kim; Seungho Kim; Junghwan Kim; Seunghyun Won; Hwaran Lee; Edward Choi 003 (ACL (Findings), 2024)

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records. - Jaehee Ryu; Seonhee Cho; Gyubok Lee; Edward Choi 003 (ACL (Findings), 2024)

Vision-Language Generative Model for View-Specific Chest X-ray Generation. - Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi 003 (CHIL, 2024)

Conference on Health, Inference, and Learning (CHIL) 2024. - Tom J. Pollard; Edward Choi 003; Pankhuri Singhal; Michael C. Hughes; Elena Sizikova; Bobak Mortazavi; Irene Y. Chen; Fei Wang; Tasmie Sarker; Matthew B. A. McDermott; Marzyeh Ghassemi (CHIL, 2024)

Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models. - Hyunseung Chung; Sumin Jo; Yeonsu Kwon; Edward Choi 003 (CIKM, 2024)

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. - Daehoon Gwak; Junwoo Park; Minho Park 003; ChaeHun Park; Hyunchan Lee; Edward Choi 003; Jaegul Choo (EMNLP (Findings), 2024)

Multimodal Transformer with a Low-Computational-Cost Guarantee. - Sungjin Park; Edward Choi 003 (ICASSP, 2024)

Self-Supervised Contrastive Learning for Long-term Forecasting. - Junwoo Park; Daehoon Gwak; Jaegul Choo; Edward Choi 003 (ICLR, 2024)

General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History. - Junu Kim; Chaeeun Shim; Bosco Seong Kyu Yang; Chami Im; Sung Yoon Lim; Han-Gil Jeong; Edward Choi 003 (MLHC, 2024)

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries. - Sunjun Kweon; Jiyoun Kim; Heeyoung Kwak; Dongchul Cha; Hangyul Yoon; Kwang Kim; Jeewon Yang; Seunghyun Won; Edward Choi 003 (NeurIPS, 2024)

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records. - Yeonsu Kwon; Jiho Kim; Gyubok Lee; Seongsu Bae; Daeun Kyung; Wonchul Cha; Tom Pollard; Alistair Johnson; Edward Choi 003 (NeurIPS, 2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. - Aaqib Saeed; Dimitris Spathis; Jungwoo Oh; Edward Choi 003; Ali Etemad (CoRR, 2024)

Self-Supervised Contrastive Forecasting. - Junwoo Park; Daehoon Gwak; Jaegul Choo; Edward Choi 003 (CoRR, 2024)

EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings. - Sunjun Kweon; Jiyoun Kim; Heeyoung Kwak; Dongchul Cha; Hangyul Yoon; Kwanghyun Kim; Seunghyun Won; Edward Choi 003 (CoRR, 2024)

KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations. - Sunjun Kweon; Byungjin Choi; Minkyu Kim; Rae Woong Park; Edward Choi 003 (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

TrustSQL: A Reliability Benchmark for Text-to-SQL Models with Diverse Unanswerable Questions. - Gyubok Lee; Woosog Chay; Seonhee Cho; Edward Choi 003 (CoRR, 2024)

EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients. - Jiyoun Kim; Junu Kim; Kyunghoon Hur; Edward Choi 003 (CoRR, 2024)

Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. - Yongjin Yang; Sihyeon Kim; SangMook Kim; Gyubok Lee; Se-Young Yun; Edward Choi 003 (CoRR, 2024)

DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents. - Jiho Kim; Woosog Chay; Hyeonji Hwang; Daeun Kyung; Hyunseung Chung; Eunbyeol Cho; Yohan Jo; Edward Choi 003 (CoRR, 2024)

Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation. - Soyoung Yang; Hojun Cho; Jiyoung Lee; Sohee Yoon; Edward Choi 003; Jaegul Choo; Won Ik Cho (CoRR, 2024)

GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. - Kyunghoon Hur; Jungwoo Oh; Junu Kim; Jiyoun Kim; Min Jae Lee; Eunbyeol Cho; Seong-Eun Moon; Young-Hak Kim; Louis Atallah; Edward Choi 003 (IEEE J. Biomed. Health Informatics, 2024)

LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records. - Sujeong Im; Jungwoo Oh; Edward Choi 003 (CHIL, 2025)

Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records. - Daeun Kyung; Junu Kim; Tackeun Kim; Edward Choi 003 (CHIL, 2025)

Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning. - Sungjin Park; Xiao Liu; Yeyun Gong; Edward Choi 003 (NAACL (Long Papers), 2025)

Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation. - Soyoung Yang; Hojun Cho; Jiyoung Lee; Sohee Yoon; Edward Choi 003; Jaegul Choo; Won Ik Cho (NAACL (Long Papers), 2025)

Comparing neural language models for medical concept representation and patient trajectory prediction. - Alban Bornet; Dimitrios Proios; Anthony Yazdani; Fernando Jaume-Santero; Guy Haller; Edward Choi 003; Douglas Teodoro (Artif. Intell. Medicine, 2025)

R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs. - Sumin Jo; Junseong Choi; Jiho Kim; Edward Choi 003 (CoRR, 2025)

Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry. - Junu Kim; Chaeeun Shim; Sungjin Park; Su Yeon Lee; Gee Young Suh; Chae-Man Lim; Seong Jin Choi; Song Mi Moon; Kyoung-Ho Song; Eu Suk Kim; Hong Bin Kim; Sejoong Kim; et al. (CoRR, 2025)

PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions. - Daeun Kyung; Hyunseung Chung; Seongsu Bae; Jiho Kim; Jae Ho Sohn; Taerim Kim; Soo Kyung Kim; Edward Choi 003 (CoRR, 2025)

CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays. - Hyungyung Lee; Geon Choi; Jung-Oh Lee; Hangyul Yoon; Hyuk Gi Hong; Edward Choi 003 (CoRR, 2025)

Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties. - Jiyoung Lee; Seungho Kim; Jieun Han; Jun-Min Lee; Kitaek Kim; Alice Oh; Edward Choi 003 (CoRR, 2025)

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation. - Jong Hak Moon; Geon Choi; Paloma Rabaey; Min Gwan Kim; Hyuk Gi Hong; Jung-Oh Lee; Hangyul Yoon; Eun Woo Doe; Jiyoun Kim; Harshita Sharma; Daniel C. Castro; Javier Alvarez-Valle; et al. (CoRR, 2025)

MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion. - Franck Meyer; Kyunghoon Hur; Edward Choi 003 (CoRR, 2025)

A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant. - Sunjun Kweon; Sooyohn Nam; Hyunseung Lim; Hwajung Hong; Edward Choi 003 (CoRR, 2025)

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing. - Eunbyeol Cho; Jiyoun Kim; Minjae Lee; Sungjin Park; Edward Choi 003 (CoRR, 2025)

FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering. - Gyubok Lee; Elea Bach; Eric Yang; Tom Pollard; Alistair Johnson; Edward Choi 003; Yugang jia; Jong Ha Lee (CoRR, 2025)

Behind RoPE: How Does Causal Mask Encode Positional Information? - Junu Kim; Xiao Liu; Zhenghao Lin; Lei Ji 001; Yeyun Gong; Edward Choi 003 (CoRR, 2025)

ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation. - Jiho Kim; Junseong Choi; Woosog Chay; Daeun Kyung; Yeonsu Kwon; Yohan Jo; Edward Choi 003 (CoRR, 2025)

From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents. - Gyubok Lee; Woosog Chay; Heeyoung Kwak; Yeong Hwa Kim; Haanju Yoo; Oksoon Jeong; Meong Hi Son; Edward Choi 003 (CoRR, 2025)