Hugo Aerts
4 papers · 2024–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Gold
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Core AI
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Applications
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(3)
benchmark evaluation
(1)
domain adaptation
(1)
feature extraction
(1)
medical imaging
(1)
question answering
(1)
named entity recognition
(1)
multimodal learning
(1)
bias detection
(1)
vision-language model
(1)
zero-shot transfer
(1)
sparse autoencoder
(1)
multimodal language model
(1)
robustness evaluation
(1)
biomedical text
(1)
data contamination
(1)
interpretable feature
(1)
multilingual model
(1)
medical knowledge
(1)
medical application
(1)
Papers
Sparse Autoencoder Features for Classifications and Transferability
EMNLP 2025
WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation
NAACL 2025
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