Jack Gallifant
7 papers · 2024–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Core AI
(4)
Healthcare & Medicine
(3)
Natural Language Processing
(3)
Application Areas
(3)
Clinical
(3)
Deep Learning
(2)
Applications
(2)
Core Methods
(2)
Learning Types
(2)
Resources & Methods
(2)
Computer Vision
(1)
Architectures
(1)
Domain-Specific
(1)
Keywords
large language model
(3)
algorithmic fairness
(1)
sparse autoencoder
(1)
feature extraction
(1)
medical imaging
(1)
question answering
(1)
named entity recognition
(1)
multimodal learning
(1)
bias detection
(1)
class imbalance
(1)
area under curve
(1)
event stream
(1)
vision-language model
(1)
zero-shot transfer
(1)
domain adaptation
(1)
electronic health record
(1)
retrieval-augmented generation
(1)
multimodal language model
(1)
domain-specific language
(1)
benchmark evaluation
(1)
Papers
ACES: Automatic Cohort Extraction System for Event-Stream Datasets
ICLR 2025
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
AAAI 2025
Sparse Autoencoder Features for Classifications and Transferability
EMNLP 2025
WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation
NAACL 2025
A Closer Look at AUROC and AUPRC under Class Imbalance
NeurIPS 2024
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
NeurIPS 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
EMNLP 2024