Adrian Paschke
7 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(5)
Applications
(5)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Core AI
(4)
Interdisciplinary
(2)
Core Methods
(2)
Social
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
text classification
(3)
large language model
(2)
domain adaptation
(2)
hate speech detection
(2)
content moderation
(2)
data augmentation
(1)
relation extraction
(1)
social media analysis
(1)
information extraction
(1)
text generation
(1)
multi-label classification
(1)
trajectory prediction
(1)
gaussian process
(1)
knowledge graph
(1)
ensemble method
(1)
bias mitigation
(1)
generative adversarial network
(1)
toxicity classification
(1)
retrieval-augmented generation
(1)
heteroscedastic regression
(1)
Papers
ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
EACL 2026
A Comprehensive Taxonomy of Bias Mitigation Methods for Hate Speech Detection
ACL 2025
Fine-Tuning Large Language Models for Relation Extraction within a Retrieval-Augmented Generation Framework
ACL 2025
Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
NAACL 2025
Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
EMNLP 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
RSS 2025
Simple LLM based Approach to Counter Algospeak
NAACL 2024