Matthias Orlikowski
6 papers · 2018–2025 · 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
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Application Areas
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Applications · Natural Language Processing
(3)
Core AI
(3)
Computer Science
(1)
Computer Vision
(1)
Deep Learning
(1)
Applications · Computer Science
(1)
Domain-Specific
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
annotator modeling
(2)
human label variation
(2)
text classification
(2)
toxic content detection
(1)
annotator reliability
(1)
embedding alignment
(1)
annotation quality
(1)
word embedding
(1)
label distribution
(1)
hate speech detection
(1)
diachronic analysis
(1)
annotation variation
(1)
label variation
(1)
annotation aggregation
(1)
large language model
(1)
argument quality
(1)
sociodemographic bia
(1)
annotator variation
(1)
subjective task
(1)
multi-annotator model
(1)
Papers
Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions
EMNLP 2025
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions
ACL 2025
Personalization up to a Point: Why Personalized Content Moderation Needs Boundaries, and How We Can Enforce Them
EMNLP 2025
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives!
EMNLP 2023
The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics
ACL 2023
Learning Diachronic Analogies to Analyze Concept Change
COLING 2018