Reducing LLM Bias: A New Approach with LoRA and Voting
Published:Nov 17, 2025 21:31
•1 min read
•ArXiv
Analysis
This research explores a novel method for addressing selection bias in Large Language Models (LLMs), which is a crucial step towards more reliable and unbiased AI systems. The proposed approach combines LoRA fine-tuning and efficient majority voting, demonstrating a practical strategy for mitigating bias.
Key Takeaways
Reference
“The research is sourced from ArXiv, suggesting a focus on academic rigor and validation of the approach.”