Fred Morstatter
22 papers · 2016–2025 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Mega-Team · Squad
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Topic Evolution
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Trend Setter
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Keyword Collector
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Research topics
Artificial Intelligence
(16)
Core AI
(15)
Machine Learning
(13)
Natural Language Processing
(13)
Application Areas
(7)
Applications
(7)
Core Methods
(6)
Learning Types · Machine Learning
(5)
Resources & Methods
(5)
Deep Learning
(4)
Knowledge & Reasoning
(3)
Learning Types · Deep Learning
(3)
Generation
(2)
Learning Paradigms
(2)
Reasoning
(2)
Keywords
large language model
(5)
causal inference
(4)
few-shot learning
(2)
text classification
(2)
adversarial attack
(2)
bias mitigation
(2)
domain adaptation
(1)
data poisoning
(1)
zero-shot learning
(1)
topic modeling
(1)
model robustness
(1)
optimal transport
(1)
attention mechanism
(1)
natural language inference
(1)
natural language processing
(1)
prompt engineering
(1)
question answering
(1)
sentiment analysis
(1)
in-context learning
(1)
multilingual nlp
(1)
Papers
Estimating Causal Effects of Text Interventions Leveraging LLMs
IJCNLP 2025
Artificial Intuition: Efficient Classification of Scientific Abstracts
ACL 2024
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
NAACL 2024
Contextualizing Argument Quality Assessment with Relevant Knowledge
NAACL 2024
“Define Your Terms” : Enhancing Efficient Offensive Speech Classification with Definition
EACL 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
CLeaR 2024
Policy Learning for Localized Interventions from Observational Data
AISTATS 2024
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
ACL 2024
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
EACL 2023
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet
ACL 2023
Pipeline for modeling causal beliefs from natural language
ACL 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
EMNLP 2023
Attributing Fair Decisions with Attention Interventions
NAACL 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
NAACL 2022
Exacerbating Algorithmic Bias through Fairness Attacks
AAAI 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
ACL 2021
Identifying Distributional Perspectives from Colingual Groups
NAACL 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
EMNLP 2021
SAGE: A Hybrid Geopolitical Event Forecasting System
IJCAI 2019
In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics
JMLR 2018
A Novel Measure for Coherence in Statistical Topic Models
ACL 2016