Reihaneh Rabbany
20 papers · 2014–2025 · 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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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
👥
Mega-Team · Squad
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Dynamic Duo
(12)
🌈
Renaissance Researcher
(8)
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Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(101)
Top co-authors
Research topics
Artificial Intelligence
(14)
Machine Learning
(13)
Core AI
(12)
Natural Language Processing
(10)
Applications
(8)
Core Methods
(8)
Deep Learning
(6)
Learning Types · Machine Learning
(6)
Application Areas
(4)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Computer Science
(2)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
Keywords
large language model
(7)
text classification
(4)
link prediction
(3)
uncertainty quantification
(3)
person name extraction
(2)
node classification
(2)
dynamic graph
(2)
graph neural network
(2)
temporal graph
(2)
named entity recognition
(2)
human trafficking
(2)
graph learning
(2)
misinformation detection
(2)
edge prediction
(2)
graph representation learning
(2)
weakly supervised learning
(2)
constraint optimization
(1)
transfer learning
(1)
graph classification
(1)
multi-task learning
(1)
Papers
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
AAAI 2025
Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training
ACL 2025
SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents
IJCAI 2025
The Structural Safety Generalization Problem
ACL 2025
Veracity: An Open-Source AI Fact-Checking System
IJCAI 2025
An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter
COLING 2024
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
EACL 2024
Quantifying learning-style adaptation in effectiveness of LLM teaching
EACL 2024
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
NeurIPS 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Uncertainty Resolution in Misinformation Detection
EACL 2024
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking
EMNLP 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
NeurIPS 2023
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
EMNLP 2023
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
EMNLP 2023
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking
ACL 2022
Towards Better Evaluation for Dynamic Link Prediction
NeurIPS 2022
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents
EMNLP 2020
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
NeurIPS 2014