bias mitigation

Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks NeurIPS 2024 Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language EMNLP 2024 Mitigating Bias for Question Answering Models by Tracking Bias Influence NAACL 2024 Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024 OffsetBias: Leveraging Debiased Data for Tuning Evaluators EMNLP 2024 On the Interplay between Fairness and Explainability NAACL 2024 Overview of PerspectiveArg2024 The First Shared Task on Perspective Argument Retrieval ACL 2024 PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI To Mitigate Image Demographic Biases WACV 2024 Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective EMNLP 2024 Representation Surgery: Theory and Practice of Affine Steering ICML 2024 REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models NAACL 2024 Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes EMNLP 2024 Revisiting the Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems COLING 2024 Robust Emotion Recognition in Context Debiasing CVPR 2024 SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024 SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples CVPR 2024 Spectral Editing of Activations for Large Language Model Alignment NeurIPS 2024 STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions EMNLP 2024 Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP ACL 2024 Studying and Mitigating Biases in Sign Language Understanding Models EMNLP 2024 “Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024 Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024 Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions EMNLP 2024 Training Unbiased Diffusion Models From Biased Dataset ICLR 2024