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model debiasing

58 papers

Papers

Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024 NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NeurIPS 2024 Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models ACL 2024 Transferring Fairness using Multi-Task Learning with Limited Demographic Information EMNLP 2024 UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing NAACL 2024 Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024 Backpack Language Models ACL 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023 Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement NeurIPS 2023 Counterfactual Debiasing for Fact Verification ACL 2023 Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023 Fast Model DeBias with Machine Unlearning NeurIPS 2023 Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions ACL 2023 Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 NeuroX Library for Neuron Analysis of Deep NLP Models ACL 2023 Stubborn Lexical Bias in Data and Models ACL 2023 Sustaining Fairness via Incremental Learning AAAI 2023 WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models ACL 2023 A Robust Bias Mitigation Procedure Based on the Stereotype Content Model EMNLP 2022 Does Representational Fairness Imply Empirical Fairness? AACL 2022 Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning NAACL 2022 How Gender Debiasing Affects Internal Model Representations, and Why It Matters NAACL 2022 Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022 MABEL: Attenuating Gender Bias using Textual Entailment Data EMNLP 2022 Challenges in Automated Debiasing for Toxic Language Detection EACL 2021