Jaewoo Kang
55 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (11) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🗺️
Taxonomy Completionist
(11)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(18)
🏆
Grand Slam
🔬
Deep Specialist
(15)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
❓
The Questioner
(2)
🗃️
Keyword Collector
(248)
📈
Trend Setter
💎
Century Club
(52)
⚡
Prolific Year
(12)
🔥
Unstoppable
(9)
Conferences
ACL (12)
EMNLP (12)
NAACL (6)
IJCAI (5)
EACL (4)
AAAI (3)
NIPS (3)
COLING (2)
ECCV (2)
ICLR (2)
IJCNLP (2)
CVPR (1)
ICML (1)
Top co-authors
Keywords
question answering
(10)
large language model
(8)
named entity recognition
(6)
open-domain question answering
(5)
representation learning
(4)
graph neural network
(4)
retrieval-augmented generation
(4)
phrase retrieval
(4)
knowledge base
(4)
information retrieval
(4)
synthetic data generation
(3)
consistency training
(3)
conversational question answering
(3)
transfer learning
(3)
biomedical text mining
(3)
generative model
(2)
benchmark dataset
(2)
document retrieval
(2)
language model
(2)
graph classification
(2)
Papers
Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models
EACL 2026
The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models
AAAI 2026
SCRIPTMIND: Crime Script Inference and Cognitive Evaluation for LLM-based Social Engineering Scam Detection System
EACL 2026
Ask Optimal Questions: Aligning Large Language Models with Retriever’s Preference in Conversation
NAACL 2025
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
NAACL 2025
ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage
NAACL 2025
Monet: Mixture of Monosemantic Experts for Transformers
ICLR 2025
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
ICLR 2025
Assessing LLM Reasoning Steps via Principal Knowledge Grounding
EMNLP 2025
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
EMNLP 2025
Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
ACL 2025
Learning from Negative Samples in Biomedical Generative Entity Linking
ACL 2025
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
ACL 2025
DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework
ACL 2025
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
AAAI 2025
KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR
NAACL 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
NIPS 2024
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions
COLING 2024
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
EACL 2024
CompAct: Compressing Retrieved Documents Actively for Question Answering
EMNLP 2024
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction
NAACL 2024
LIQUID: A Framework for List Question Answering Dataset Generation
AAAI 2023
KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization
ACL 2023
Optimizing Test-Time Query Representations for Dense Retrieval
ACL 2023
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations
ACL 2023
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
EMNLP 2023
DyGRAIN: An Incremental Learning Framework for Dynamic Graphs
IJCAI 2022
KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish
COLING 2022
Consistency Training with Virtual Adversarial Discrete Perturbation
NAACL 2022
Generating Information-Seeking Conversations from Unlabeled Documents
EMNLP 2022
Simple Questions Generate Named Entity Recognition Datasets
EMNLP 2022
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
EMNLP 2022
FaVIQ: FAct Verification from Information-seeking Questions
ACL 2022
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
ACL 2021
“Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
EACL 2021
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
IJCNLP 2021
Learning Dense Representations of Phrases at Scale
IJCNLP 2021
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
NIPS 2021
Can Language Models be Biomedical Knowledge Bases?
EMNLP 2021
HOTR: End-to-End Human-Object Interaction Detection With Transformers
CVPR 2021
Learning Dense Representations of Phrases at Scale
ACL 2021
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
ACL 2020
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods
ECCV 2020
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection
ECCV 2020
Look at the First Sentence: Position Bias in Question Answering
EMNLP 2020
Adversarial Subword Regularization for Robust Neural Machine Translation
EMNLP 2020
Answering Questions on COVID-19 in Real-Time
EMNLP 2020
MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
IJCAI 2020
Biomedical Entity Representations with Synonym Marginalization
ACL 2020
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network
IJCAI 2019
Self-Attention Graph Pooling
ICML 2019
Graph Transformer Networks
NIPS 2019
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation
IJCAI 2018
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
EMNLP 2018
Name Nationality Classification with Recurrent Neural Networks
IJCAI 2017