Stefan Hegselmann
4 papers · 2018–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Clinical
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
large language model
(2)
few-shot learning
(2)
zero-shot learning
(2)
named entity recognition
(1)
interpretable machine learning
(1)
tabular data
(1)
zero-shot classification
(1)
survival prediction
(1)
generalized additive model
(1)
text serialization
(1)
multi-layer perceptron
(1)
clinical information extraction
(1)
span identification
(1)
cohort selection
(1)
clinical setting
(1)
risk function
(1)
ablation analysis
(1)
doctor interpretability
(1)
logistic regression
(1)
relation extraction
(1)
Papers
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
AISTATS 2023
Large language models are few-shot clinical information extractors
EMNLP 2022
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions
MLHC 2020
Reproducible Survival Prediction with SEER Cancer Data
MLHC 2018