sexism detection

When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing ACL 2026 Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation ACL 2025 BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection AAAI 2025 Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks ACL 2025 Detecting Sexism in Tweets: A Sentiment Analysis and Graph Neural Network Approach NAACL 2025 Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection ACL 2025 Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection COLING 2025 Measuring Sexism in US Elections: A Comparative Analysis of X Discourse from 2020 to 2024 EMNLP 2025 SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations NAACL 2025 Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection NAACL 2025 Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse EMNLP 2024 Analysis of Annotator Demographics in Sexism Detection ACL 2024 A Novel Corpus for Automated Sexism Identification on Social Media COLING 2024 GERMS-AT: A Sexism/Misogyny Dataset of Forum Comments from an Austrian Online Newspaper COLING 2024 ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS) SemEval 2023 AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning SemEval 2023 Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text SemEval 2023 AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa SemEval 2023 Brainstormers_msec at SemEval-2023 Task 10: Detection of sexism related comments in social media using deep learning SemEval 2023 Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models AACL 2023 Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss SemEval 2023 CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions SemEval 2023 CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE! SemEval 2023 Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism SemEval 2023 CSECU-DSG at SemEval-2023 Task 10: Exploiting Transformers with Stacked LSTM for the Explainable Detection of Online Sexism SemEval 2023