Kevin Lybarger
9 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
information extraction
(4)
named entity recognition
(3)
patient experience
(2)
cognitive behavioral therapy
(2)
large language model
(2)
text classification
(2)
cognitive distortion
(2)
clinical text extraction
(1)
information retrieval
(1)
in-context learning
(1)
clinical text mining
(1)
bert language model
(1)
clinical natural language processing
(1)
electronic health record
(1)
data augmentation
(1)
aspect-based sentiment analysis
(1)
event extraction
(1)
prompt engineering
(1)
style adaptation
(1)
retrieval-augmented generation
(1)
Papers
DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
EACL 2026
Capturing Patients’ Lived Experiences with Chronic Pain through Motivational Interviewing and Information Extraction
NAACL 2025
Evaluating Health Question Answering Under Readability-Controlled Style Perturbations
EMNLP 2025
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models
COLING 2024
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods
COLING 2024
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models
SemEval 2023
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning
ACL 2023
Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context
NAACL 2022
Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation
NAACL 2022