Fred Morstatter
24 papers · 2016–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Interdisciplinary Bridge π Academic Marathon (9) π Conference Polyglot (10) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(54)
π§
Keyword Pioneer
π§¬
Topic Evolution
π₯
Mega-Team
(23)
β
The Questioner
π
Century Club
(23)
ποΈ
Keyword Collector
(118)
π₯
Unstoppable
(5)
π
Trend Setter
β‘
Prolific Year
(8)
Conferences
ACL (6)
NAACL (5)
EACL (3)
EMNLP (2)
IJCNLP (2)
AAAI (1)
AACL (1)
AISTATS (1)
CLEAR (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
large language model
(6)
causal inference
(5)
text classification
(3)
event forecasting
(2)
question answering
(2)
domain adaptation
(2)
few-shot learning
(2)
observational datum
(2)
adversarial attack
(2)
multiple-choice question
(2)
bias mitigation
(2)
attention mechanism
(1)
optimal transport
(1)
natural language inference
(1)
model robustness
(1)
data poisoning
(1)
zero-shot learning
(1)
topic modeling
(1)
natural language processing
(1)
prompt engineering
(1)
Papers
Estimating Causal Effects of Text Interventions Leveraging LLMs
AACL 2025
Estimating Causal Effects of Text Interventions Leveraging LLMs
IJCNLP 2025
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
CLEAR 2024
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
NAACL 2024
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
ACL 2024
Artificial Intuition: Efficient Classification of Scientific Abstracts
ACL 2024
Policy Learning for Localized Interventions from Observational Data
AISTATS 2024
βDefine Your Termsβ : Enhancing Efficient Offensive Speech Classification with Definition
EACL 2024
Donβt Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
Contextualizing Argument Quality Assessment with Relevant Knowledge
NAACL 2024
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
EMNLP 2023
Pipeline for modeling causal beliefs from natural language
ACL 2023
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet
ACL 2023
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
EACL 2023
Attributing Fair Decisions with Attention Interventions
NAACL 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers
NAACL 2022
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
EMNLP 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
ACL 2021
Exacerbating Algorithmic Bias through Fairness Attacks
AAAI 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
IJCNLP 2021
Identifying Distributional Perspectives from Colingual Groups
NAACL 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