Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yixuan, Zhou, Feng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)
by: Roy, Arjun, et al.
Published: (2023)
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
by: Zhang, Hengyuan, et al.
Published: (2024)
by: Zhang, Hengyuan, et al.
Published: (2024)
Navigating Towards Fairness with Data Selection
by: Zhang, Yixuan, et al.
Published: (2024)
by: Zhang, Yixuan, et al.
Published: (2024)
Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
by: Cunningham, Eoghan, et al.
Published: (2025)
by: Cunningham, Eoghan, et al.
Published: (2025)
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
by: Srivastava, Sanjari, et al.
Published: (2024)
by: Srivastava, Sanjari, et al.
Published: (2024)
Endowing Pre-trained Graph Models with Provable Fairness
by: Zhang, Zhongjian, et al.
Published: (2024)
by: Zhang, Zhongjian, et al.
Published: (2024)
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025)
by: Arzaghi', 'Mina, et al.
Published: (2025)
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
by: Xu, Yuancheng, et al.
Published: (2023)
by: Xu, Yuancheng, et al.
Published: (2023)
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
by: Simson, Jan, et al.
Published: (2025)
by: Simson, Jan, et al.
Published: (2025)
Toward Mitigating Sex Bias in Pilot Trainees' Stress and Fatigue Modeling
by: Pfeifer, Rachel, et al.
Published: (2024)
by: Pfeifer, Rachel, et al.
Published: (2024)
A Principled Approach for Data Bias Mitigation
by: Scarone, Bruno, et al.
Published: (2024)
by: Scarone, Bruno, et al.
Published: (2024)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
by: Chen, Feng, et al.
Published: (2023)
by: Chen, Feng, et al.
Published: (2023)
Mitigating Bias for Question Answering Models by Tracking Bias Influence
by: Ma, Mingyu Derek, et al.
Published: (2023)
by: Ma, Mingyu Derek, et al.
Published: (2023)
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups
by: Giannopoulos, Giorgos, et al.
Published: (2024)
by: Giannopoulos, Giorgos, et al.
Published: (2024)
Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)
by: Sun, Shuzhou, et al.
Published: (2025)
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
by: Wu, Shangxi, et al.
Published: (2023)
by: Wu, Shangxi, et al.
Published: (2023)
FairGT: A Fairness-aware Graph Transformer
by: Luo, Renqiang, et al.
Published: (2024)
by: Luo, Renqiang, et al.
Published: (2024)
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
by: Wang, Xiaoyang, et al.
Published: (2025)
by: Wang, Xiaoyang, et al.
Published: (2025)
DSO: Direct Steering Optimization for Bias Mitigation
by: Paes, Lucas Monteiro, et al.
Published: (2025)
by: Paes, Lucas Monteiro, et al.
Published: (2025)
Mitigating Nonlinear Algorithmic Bias in Binary Classification
by: Hui, Wendy, et al.
Published: (2023)
by: Hui, Wendy, et al.
Published: (2023)
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
by: Mohammadshahi, Aida, et al.
Published: (2024)
by: Mohammadshahi, Aida, et al.
Published: (2024)
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
by: Weber, Tobias, et al.
Published: (2023)
by: Weber, Tobias, et al.
Published: (2023)
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
by: Ming, Yifei, et al.
Published: (2023)
by: Ming, Yifei, et al.
Published: (2023)
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
by: Vargas, Francisco, et al.
Published: (2020)
by: Vargas, Francisco, et al.
Published: (2020)
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
Training Fair Models in Federated Learning without Data Privacy Infringement
by: Che, Xin, et al.
Published: (2021)
by: Che, Xin, et al.
Published: (2021)
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
by: Bouchard, Dylan, et al.
Published: (2025)
by: Bouchard, Dylan, et al.
Published: (2025)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
by: Song, Weixi, et al.
Published: (2023)
by: Song, Weixi, et al.
Published: (2023)
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making
by: Castelnovo, Alessandro
Published: (2024)
by: Castelnovo, Alessandro
Published: (2024)
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
by: Ma, Shih-Chi, et al.
Published: (2024)
by: Ma, Shih-Chi, et al.
Published: (2024)
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
by: Small, Edward, et al.
Published: (2022)
by: Small, Edward, et al.
Published: (2022)
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
by: Zeng, Xianli, et al.
Published: (2024)
by: Zeng, Xianli, et al.
Published: (2024)
SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation
by: Yan, Junyu, et al.
Published: (2025)
by: Yan, Junyu, et al.
Published: (2025)
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning
by: Tepeli, Yasin I., et al.
Published: (2024)
by: Tepeli, Yasin I., et al.
Published: (2024)
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
by: Shang, Tianqi, et al.
Published: (2024)
by: Shang, Tianqi, et al.
Published: (2024)
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
by: Iskander, Shadi, et al.
Published: (2024)
by: Iskander, Shadi, et al.
Published: (2024)
FairPFN: A Tabular Foundation Model for Causal Fairness
by: Robertson, Jake, et al.
Published: (2025)
by: Robertson, Jake, et al.
Published: (2025)
Bias Amplification Enhances Minority Group Performance
by: Li, Gaotang, et al.
Published: (2023)
by: Li, Gaotang, et al.
Published: (2023)
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems
by: Cohen-Inger, Nurit, et al.
Published: (2025)
by: Cohen-Inger, Nurit, et al.
Published: (2025)
Similar Items
-
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023) -
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
by: Zhang, Hengyuan, et al.
Published: (2024) -
Navigating Towards Fairness with Data Selection
by: Zhang, Yixuan, et al.
Published: (2024) -
Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
by: Cunningham, Eoghan, et al.
Published: (2025) -
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
by: Srivastava, Sanjari, et al.
Published: (2024)