Bertie Vidgen
25 papers · 2019–2025 · 9 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 (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(11)
🏆
Keyword Champion
(4)
👥
Mega-Team · Legion
🧬
Topic Evolution
🔬
Deep Specialist
(10)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🗃️
Keyword Collector
(116)
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(15)
Natural Language Processing
(15)
Core AI
(14)
Core Methods
(11)
Applications · Natural Language Processing
(9)
Learning Types · Machine Learning
(8)
Application Areas
(7)
Resources & Methods
(7)
Deep Learning
(3)
Computer Science
(2)
Interdisciplinary
(2)
Applications · Computer Science
(2)
Learning Types · Deep Learning
(2)
Social
(2)
Keywords
hate speech detection
(11)
text classification
(8)
natural language processing
(4)
large language model
(4)
content moderation
(4)
model evaluation
(3)
transformer model
(2)
hate detection
(2)
abusive content detection
(2)
binary classification
(2)
social media analysis
(2)
toxic content detection
(2)
fine-grained classification
(2)
preference learning
(2)
active learning
(2)
responsible ai
(2)
human feedback
(2)
adversarial training
(2)
dataset creation
(1)
robustness
(1)
Papers
LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests
EMNLP 2025
SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
AAAI 2025
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
NeurIPS 2024
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
NAACL 2024
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore
ACL 2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
SemEval 2023
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values
EMNLP 2023
Handling and Presenting Harmful Text in NLP Research
EMNLP 2022
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate
NAACL 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
COLING 2022
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models
NAACL 2022
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
NAACL 2022
An Expert Annotated Dataset for the Detection of Online Misogyny
EACL 2021
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate
ACL 2021
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection
ACL 2021
HateCheck: Functional Tests for Hate Speech Detection Models
ACL 2021
Introducing CAD: the Contextual Abuse Dataset
NAACL 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
ACL 2021
Detecting East Asian Prejudice on Social Media
EMNLP 2020
Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020
EMNLP 2020
Recalibrating classifiers for interpretable abusive content detection
EMNLP 2020
Challenges and frontiers in abusive content detection
ACL 2019