Jörg Schlötterer
19 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (47) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer
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Keyword Pioneer
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Mega-Team
(20)
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(7)
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The Questioner
Conferences
EMNLP (4)
ACL (3)
EACL (3)
NAACL (3)
COLING (2)
CVPR (1)
ICCV (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
question answering
(3)
knowledge base
(3)
text simplification
(2)
factual knowledge
(2)
natural language inference
(2)
domain adaptation
(2)
model interpretability
(2)
pre-trained language model
(2)
self-supervised learning
(1)
in-context learning
(1)
prototype learning
(1)
natural language generation
(1)
shortcut learning
(1)
named entity recognition
(1)
data augmentation
(1)
knowledge probing
(1)
sentiment analysis
(1)
text summarization
(1)
knowledge editing
(1)
language modeling
(1)
Papers
How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective
EACL 2026
Persuasion Tokens for Editing Factual Knowledge in LLMs
EACL 2026
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
ICCV 2025
Position: Editing Large Language Models Poses Serious Safety Risks
ICML 2025
Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives
COLING 2025
Behavioral Analysis of Information Salience in Large Language Models
ACL 2025
Has this Fact been Edited? Detecting Knowledge Edits in Language Models
NAACL 2025
How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
NAACL 2025
Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
EMNLP 2025
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study
EMNLP 2024
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
ACL 2024
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
COLING 2024
The Queen of England is not England’s Queen: On the Lack of Factual Coherency in PLMs
EACL 2024
Corpus Considerations for Annotator Modeling and Scaling
NAACL 2024
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification
CVPR 2023
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing
ACL 2023
Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models
EMNLP 2023
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
IJCAI 2023
Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset
EMNLP 2022