Oana Cocarascu
20 papers · 2017–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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The Questioner
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Unstoppable · Bronze
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Century Club · Bronze
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Natural Language Processing
(15)
Applications · Natural Language Processing
(13)
Machine Learning
(11)
Artificial Intelligence
(10)
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(4)
Learning Types · Machine Learning
(4)
Deep Learning
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Learning Types · Deep Learning
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Optimization & Theory
(3)
Understanding
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Data Science & Analytics
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Applications · Data Science & Analytics
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Resources & Methods
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Keywords
fact verification
(5)
text classification
(4)
large language model
(4)
evidence retrieval
(4)
claim verification
(3)
information retrieval
(2)
few-shot learning
(2)
fact extraction
(2)
natural language inference
(2)
misinformation detection
(2)
automated verification
(2)
vision-language model
(2)
argumentation framework
(2)
shared task
(2)
zero-shot learning
(2)
mixture of expert
(2)
argument mining
(2)
table understanding
(2)
multimodal learning
(1)
information extraction
(1)
Papers
Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts
EACL 2026
NarSiL at SemEval-2026 Task 4: A Multi-Expert, Multi-Pathway System for Narrative Story Similarity
SemEval 2026
Can Large Language Models Understand Argument Schemes?
ACL 2025
FactEval: Evaluating the Robustness of Fact Verification Systems in the Era of Large Language Models
NAACL 2025
I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense
EMNLP 2025
ChartCheck: Explainable Fact-Checking over Real-World Chart Images
ACL 2024
Identifying Reasons for Bias: An Argumentation-Based Approach
AAAI 2024
The Automated Verification of Textual Claims (AVeriTeC) Shared Task
EMNLP 2024
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
EMNLP 2023
Multimodal Automated Fact-Checking: A Survey
EMNLP 2023
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
EACL 2023
A Robustness Evaluation Framework for Argument Mining
COLING 2022
PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking
NAACL 2022
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task
EMNLP 2021
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
EMNLP 2019
The FEVER2.0 Shared Task
EMNLP 2019
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them
IJCAI 2018
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)
EMNLP 2018
The Fact Extraction and VERification (FEVER) Shared Task
EMNLP 2018
Identifying attack and support argumentative relations using deep learning
EMNLP 2017