Kellin Pelrine
16 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Dynamic Duo
(12)
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Prolific Year · Productive
❓
The Questioner
💎
Century Club · Bronze
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Renaissance Researcher
(7)
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Keyword Collector
(81)
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Research topics
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(9)
Natural Language Processing
(9)
Applications
(7)
Learning Types
(7)
Deep Learning
(3)
Core Methods
(3)
Resources & Methods
(3)
Understanding
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Security & Privacy
(1)
Keywords
large language model
(7)
text classification
(3)
red teaming
(2)
adversarial attack
(2)
person name extraction
(2)
named entity recognition
(2)
misinformation detection
(2)
uncertainty quantification
(2)
game artificial intelligence
(1)
weakly supervised learning
(1)
data poisoning
(1)
social media analysis
(1)
prompt engineering
(1)
graph representation learning
(1)
harmful content
(1)
natural language processing
(1)
synthetic data generation
(1)
question generation
(1)
graph learning
(1)
adversarial training
(1)
Papers
Can Go AIs Be Adversarially Robust?
AAAI 2025
Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
EMNLP 2025
SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents
IJCAI 2025
Scaling Trends for Data Poisoning in LLMs
AAAI 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
Uncertainty Resolution in Misinformation Detection
EACL 2024
Adversarial Policies Beat Superhuman Go AIs
ICML 2023
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking
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