Fairness
1,279 papers
Papers per year
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Papers
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
ACL 2023
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
ACL 2023
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children’s Fairy Tales
ACL 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
EMNLP 2023
Assessing Political Inclination of Bangla Language Models
EMNLP 2023
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection
EMNLP 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
ACL 2023
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language
EMNLP 2023
Bias-Eliminating Augmentation Learning for Debiased Federated Learning
CVPR 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
CVPR 2023
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
CVPR 2023
BiasX: “Thinking Slow” in Toxic Content Moderation with Explanations of Implied Social Biases
EMNLP 2023
Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models
AACL 2023
Can We Trust Fair-AI?
AAAI 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
NeurIPS 2023
CertiFair: A Framework for Certified Global Fairness of Neural Networks
AAAI 2023
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
ACL 2023
Characterization of Stigmatizing Language in Medical Records
ACL 2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
ACL 2023
Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
EMNLP 2023
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements
ACL 2023
Combining Adversaries with Anti-adversaries in Training
AAAI 2023
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
ICLR 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
NeurIPS 2023
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models
AAAI 2023