MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Fuente:
arXiv
Saved in:
| Main Authors: | Raza, Shaina, Raval, Ananya, Chatrath, Veronica |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
by: Chatrath, Veronica, et al.
Published: (2024)
by: Chatrath, Veronica, et al.
Published: (2024)
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
by: Raza, Shaina, et al.
Published: (2023)
by: Raza, Shaina, et al.
Published: (2023)
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
by: Raval, Ananya, et al.
Published: (2025)
by: Raval, Ananya, et al.
Published: (2025)
Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations
by: Raza, Shaina, et al.
Published: (2025)
by: Raza, Shaina, et al.
Published: (2025)
BEADs: Bias Evaluation Across Domains
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
by: Sapkota, Ranjan, et al.
Published: (2025)
by: Sapkota, Ranjan, et al.
Published: (2025)
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
Mitigating the Bias of Large Language Model Evaluation
by: Zhou, Hongli, et al.
Published: (2024)
by: Zhou, Hongli, et al.
Published: (2024)
A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing
by: Bashir, Syed Raza, et al.
Published: (2024)
by: Bashir, Syed Raza, et al.
Published: (2024)
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
by: Raza, Shaina, et al.
Published: (2024)
by: Raza, Shaina, et al.
Published: (2024)
Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
by: Raza, Shaina, et al.
Published: (2023)
by: Raza, Shaina, et al.
Published: (2023)
Mitigating Label Length Bias in Large Language Models
by: Sanz-Guerrero, Mario, et al.
Published: (2025)
by: Sanz-Guerrero, Mario, et al.
Published: (2025)
The Rise of Small Language Models in Healthcare: A Comprehensive Survey
by: Garg, Muskan, et al.
Published: (2025)
by: Garg, Muskan, et al.
Published: (2025)
Do Multilingual Large Language Models Mitigate Stereotype Bias?
by: Nie, Shangrui, et al.
Published: (2024)
by: Nie, Shangrui, et al.
Published: (2024)
Detection, Classification, and Mitigation of Gender Bias in Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)
by: Cheng, Xiaoqing, et al.
Published: (2025)
Locating and Mitigating Gender Bias in Large Language Models
by: Cai, Yuchen, et al.
Published: (2024)
by: Cai, Yuchen, et al.
Published: (2024)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models
by: Tong, Schrasing, et al.
Published: (2024)
by: Tong, Schrasing, et al.
Published: (2024)
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
by: Parihar, Shweta, et al.
Published: (2026)
by: Parihar, Shweta, et al.
Published: (2026)
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
by: Oi, Masanari, et al.
Published: (2024)
by: Oi, Masanari, et al.
Published: (2024)
Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)
by: Chen, Yuxing, et al.
Published: (2026)
Evaluating and Mitigating Social Bias for Large Language Models in Open-ended Settings
by: Liu, Zhao, et al.
Published: (2024)
by: Liu, Zhao, et al.
Published: (2024)
StreamingThinker: Large Language Models Can Think While Reading
by: Tong, Junlong, et al.
Published: (2025)
by: Tong, Junlong, et al.
Published: (2025)
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
by: Chen, Ruizhe, et al.
Published: (2024)
by: Chen, Ruizhe, et al.
Published: (2024)
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)
Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models
by: Gong, Xilin, et al.
Published: (2026)
by: Gong, Xilin, et al.
Published: (2026)
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
by: Liu, Shuliang, et al.
Published: (2025)
by: Liu, Shuliang, et al.
Published: (2025)
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
by: Allam, Ahmed
Published: (2024)
by: Allam, Ahmed
Published: (2024)
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
by: Rani, Arti, et al.
Published: (2025)
by: Rani, Arti, et al.
Published: (2025)
Simulating a Bias Mitigation Scenario in Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)
by: Kiashemshaki, Kiana, et al.
Published: (2025)
PCS: Perceived Confidence Scoring of Black Box LLMs with Metamorphic Relations
by: Salimian, Sina, et al.
Published: (2025)
by: Salimian, Sina, et al.
Published: (2025)
Mitigating Biases in Language Models via Bias Unlearning
by: Liu, Dianqing, et al.
Published: (2025)
by: Liu, Dianqing, et al.
Published: (2025)
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
by: Yu, Tian, et al.
Published: (2024)
by: Yu, Tian, et al.
Published: (2024)
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
by: Chen, Howard, et al.
Published: (2025)
by: Chen, Howard, et al.
Published: (2025)
Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
by: Cui, Xia, et al.
Published: (2025)
by: Cui, Xia, et al.
Published: (2025)
Similar Items
-
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
by: Chatrath, Veronica, et al.
Published: (2024) -
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
by: Raza, Shaina, et al.
Published: (2023) -
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
by: Raval, Ananya, et al.
Published: (2025) -
Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?
by: Raza, Shaina, et al.
Published: (2024) -
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
by: Raza, Shaina, et al.
Published: (2024)