Edward Choi

Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset CVPR 2026 A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant ACL 2025 Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 2025 R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs IJCNLP 2025 Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation NAACL 2025 EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records NeurIPS 2024 EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries NeurIPS 2024 EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records ACL 2024 Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling EMNLP 2024 General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History MLHC 2024 KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge ACL 2024 Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records NAACL 2024 Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes ACL 2024 Self-Supervised Contrastive Learning for Long-term Forecasting ICLR 2024 ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram NeurIPS 2023 EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images NeurIPS 2023 FactKG: Fact Verification via Reasoning on Knowledge Graphs ACL 2023 KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models EMNLP 2023 Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention MLHC 2023 Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table ACL 2023 Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023 Task Agnostic and Post-Hoc Unseen Distribution Detection WACV 2023 VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception NeurIPS 2023 Do Language Models Understand Measurements? EMNLP 2022 EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records NeurIPS 2022 Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model EMNLP 2022 Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity COLING 2022 Specializing Multi-domain NMT via Penalizing Low Mutual Information EMNLP 2022 Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction ACL 2021 Knowledge Graph-based Question Answering with Electronic Health Records MLHC 2021 Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation AAAI 2021 Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer AAAI 2020 Clinical Concept Extraction for Document-Level Coding ACL 2019 Compositional Obverter Communication Learning from Raw Visual Input ICLR 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NeurIPS 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 Doctor AI: Predicting Clinical Events via Recurrent Neural Networks MLHC 2016 RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NeurIPS 2016 Balanced Korean Word Spacing with Structural SVM EMNLP 2014