conftrace_

toxicity classification

13 papers

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Co-occurring keywords · papers mentioning both

bias mitigation (3) text classification (3) hate speech detection (2) large language model (2) transformer model (2) data augmentation (2) natural language processing (2) soft-label weight (1) group distributionally robust optimization (1) out-of-distribution risk (1)

Papers

DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness EACL 2026 ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation EACL 2026 A Disaggregated Dataset on English Offensiveness Containing Spans EMNLP 2025 Cross-lingual Text Classification Transfer: The Case of Ukrainian COLING 2025 Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings COLING 2025 Learning Subjective Label Distributions via Sociocultural Descriptors EMNLP 2025 Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment Interspeech 2024 Improving Covert Toxicity Detection by Retrieving and Generating References NAACL 2024 Soft-Label Integration for Robust Toxicity Classification NeurIPS 2024 Detecting Unintended Social Bias in Toxic Language Datasets CoNLL 2022 Don’t Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models EMNLP 2022 Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company’s Reputation EACL 2021 LOGAN: Local Group Bias Detection by Clustering EMNLP 2020