Andreas Stephan
11 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🧬 Topic Evolution
🗃️
Keyword Collector
(58)
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
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Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Core Methods
(6)
Learning Types
(6)
Natural Language Processing
(5)
Core AI
(5)
Deep Learning
(3)
Applications
(3)
Optimization & Theory
(3)
Learning Paradigms
(2)
Models
(2)
Resources & Methods
(2)
Computer Science
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
label noise
(3)
weakly supervised learning
(2)
image clustering
(2)
weak supervision
(2)
mathematical reasoning
(1)
deep learning
(1)
text classification
(1)
educational resources
(1)
visual question answering
(1)
hierarchical clustering
(1)
instruction following
(1)
image captioning
(1)
model evaluation
(1)
density estimation
(1)
natural language processing
(1)
human judgment
(1)
deep learning model
(1)
knowledge graph embedding
(1)
normalizing flow
(1)
generative modeling
(1)
Papers
Stay Focused: Problem Drift in Multi-Agent Debate
EACL 2026
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
ACL 2025
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing
ACL 2024
Counterfactual Reasoning with Knowledge Graph Embeddings
EACL 2024
Text-Guided Alternative Image Clustering
ACL 2024
Text-Guided Image Clustering
EACL 2024
Seeing through the mess: evolutionary dynamics of lexical polysemy
EMNLP 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning
ACL 2023
SepLL: Separating Latent Class Labels from Weak Supervision Noise
EMNLP 2022
WeaNF”:" Weak Supervision with Normalizing Flows
ACL 2022
Knodle: Modular Weakly Supervised Learning with PyTorch
ACL 2021