On Fairness of Low-Rank Adaptation of Large Models

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No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users

M Hu, H Wu, Z Guan, R Zhu, D Guo, D Qi… - arxiv preprint arxiv …, 2024 - arxiv.org
Retrieval-Augmented Generation (RAG) is widely adopted for its effectiveness and cost-
efficiency in mitigating hallucinations and enhancing the domain-specific generation …
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FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation

R Sukumaran, A Feizi, A Romero-Sorian… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advances in parameter-efficient fine-tuning methods, such as Low Rank Adaptation
(LoRA), have gained significant attention for their ability to efficiently adapt large …
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Statistical Methods for Efficient and Trustworthy Machine Learning

B Isik - 2024 - search.proquest.com
STATISTICAL METHODS FOR EFFICIENT AND TRUSTWORTHY MACHINE LEARNING A
DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGI Page 1 …
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