牛哥精选 · 半年

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📝 深度技术 arXiv 机器学习 2026-06-01

Re-examining Low Rank adaptation for private LLM fine-tuning

重新审视低秩适应（LoRA）在私有LLM微调中的应用，探讨差分隐私与效率的平衡。

arXiv:2510.01137v3 Announce Type: replace Abstract: Privacy is a central concern when fine-tuning large language models (LLMs) on sensitive data, and …

低秩适应隐私保护 llm微调差分隐私 dp-sgd

📝 深度技术 arXiv AI 2026-05-29

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs

NaRA提出噪声感知LoRA，显著提升扩散大语言模型参数高效微调效果

arXiv:2605.29716v1 Announce Type: new Abstract: Diffusion Large Language Models (dLLMs) have emerged as a promising non-autoregressive generative para…

噪声感知lora 参数高效微调扩散llm 低秩适应微调方法

🤖 AI·大模型 arXiv 机器学习 2026-05-20

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training

混合全微调与低秩适应的新方法，专为后训练场景优化，效率与性能兼得

arXiv:2605.18822v1 Announce Type: new Abstract: Post-training has become essential for adapting large language models (LLMs) to complex downstream beh…

hybrid-lor 低秩适应全微调后训练模型压缩

📝 深度技术 arXiv 机器学习 2026-05-20

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation

策略性过参数化提升低秩适应泛化能力，为参数高效微调提供新理论。

arXiv:2605.16470v1 Announce Type: new Abstract: Adapting large language models (LLMs) to downstream tasks via full fine-tuning is increasingly impract…

低秩适应过参数化泛化参数高效微调深度学习

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

Re-examining Low Rank adaptation for private LLM fine-tuning

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation

📅 日期