Co-occurring keywords · papers mentioning both
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