Co-occurring keywords · papers mentioning both
Papers
An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents
EACL 2026
A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes
EACL 2026
Beyond the Binary: Analysing Transphobic Hate and Harassment Online
ACL 2025
Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites
EMNLP 2025
Culture Matters in Toxic Language Detection in Persian
ACL 2025
Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection
ACL 2025
Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language
EMNLP 2025
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
NAACL 2025
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
EMNLP 2024
Polarized Opinion Detection Improves the Detection of Toxic Language
EACL 2024
Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
COLING 2024
Analyzing Norm Violations in Live-Stream Chat
EMNLP 2023
Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor
ACL 2023
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
ACL 2023
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks
ACL 2023
In-Game Toxic Language Detection: Shared Task and Attention Residuals (Student Abstract)
AAAI 2023
SafeConv: Explaining and Correcting Conversational Unsafe Behavior
ACL 2023
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
NAACL 2022
A Stacking-based Efficient Method for Toxic Language Detection on Live Streaming Chat
EMNLP 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
EMNLP 2022
Challenges in Automated Debiasing for Toxic Language Detection
EACL 2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
ACL 2021
Say ‘YES’ to Positivity: Detecting Toxic Language in Workplace Communications
EMNLP 2021
Towards Equal Gender Representation in the Annotations of Toxic Language Detection
ACL 2021
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
EMNLP 2020