Edward Choi
40 papers · 2014–2025 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(10)
🌍
Conference Polyglot
(11)
🌟
Keyword Trendsetter Combo
(4)
📛
The Namer
🏆
Keyword Champion
🧬
Topic Evolution
🚀
Conference Pioneer
🗃️
Keyword Collector
(169)
⚡
Prolific Year
(9)
🔥
Unstoppable
(8)
❓
The Questioner
💎
Century Club
(39)
Conferences
ACL (8)
NIPS (8)
EMNLP (6)
MLHC (4)
AAAI (3)
NAACL (3)
ICLR (2)
IJCNLP (2)
AACL (1)
COLING (1)
CVPR (1)
WACV (1)
Top co-authors
Research topics
Keywords
electronic health record
(12)
large language model
(8)
question answering
(6)
knowledge graph
(4)
neural machine translation
(3)
clinical note
(3)
terminology translation
(2)
structured datum
(2)
masked span prediction
(2)
synthetic datum
(2)
representation learning
(2)
pretrained language model
(2)
complex reasoning
(2)
fact verification
(2)
information extraction
(2)
domain adaptation
(2)
sql generation
(2)
recurrent neural network
(2)
image classification
(2)
healthcare prediction
(2)
Papers
R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs
AACL 2025
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
NAACL 2025
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
NAACL 2025
A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant
ACL 2025
R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs
IJCNLP 2025
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History
MLHC 2024
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
NAACL 2024
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
NIPS 2024
EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries
NIPS 2024
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
ACL 2024
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
ACL 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
Self-Supervised Contrastive Learning for Long-term Forecasting
ICLR 2024
Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table
ACL 2023
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
NIPS 2023
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
NIPS 2023
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception
NIPS 2023
Task Agnostic and Post-Hoc Unseen Distribution Detection
WACV 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
Revisiting the Importance of Amplifying Bias for Debiasing
AAAI 2023
FactKG: Fact Verification via Reasoning on Knowledge Graphs
ACL 2023
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model
EMNLP 2022
Do Language Models Understand Measurements?
EMNLP 2022
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
NIPS 2022
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity
COLING 2022
Specializing Multi-domain NMT via Penalizing Low Mutual Information
EMNLP 2022
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
AAAI 2021
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
ACL 2021
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
IJCNLP 2021
Knowledge Graph-based Question Answering with Electronic Health Records
MLHC 2021
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
AAAI 2020
Clinical Concept Extraction for Document-Level Coding
ACL 2019
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
CVPR 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
NIPS 2018
Compositional Obverter Communication Learning from Raw Visual Input
ICLR 2018
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
MLHC 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
NIPS 2016
Balanced Korean Word Spacing with Structural SVM
EMNLP 2014