Research map / Large language models / Language, safety and interpretability
Beyond Content: A Comprehensive Speech Toxicity Dataset and Detection Framework Incorporating Paralinguistic Cues
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models (AAAI 2024 · similarity 0.85)
- Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models (ICML 2024 · similarity 0.85)
- RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios? (AAAI 2025 · similarity 0.85)
- Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation (NeurIPS 2025 · similarity 0.84)
- IF-Guide: Influence Function-Guided Detoxification of LLMs (NeurIPS 2025 · similarity 0.84)
- Large Language Models can Become Strong Self-Detoxifiers (ICLR 2025 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.