loras

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing ICML 2025 Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation ICML 2025 Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead ICML 2025 CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models NeurIPS 2025 ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts ICML 2025 Little Martians: From Desert Clay to Generative Agents NeurIPS 2025 LoRA-Gen: Specializing Large Language Model via Online LoRA Generation ICML 2025 LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail) ICML 2025 LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits ICML 2025 RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts ICML 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025 SING: Spatial Context in Large Language Model for Next-Gen Wearables ICML 2025 TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision ICML 2025 Asymmetry in Low-Rank Adapters of Foundation Models ICML 2024 DoRA: Weight-Decomposed Low-Rank Adaptation ICML 2024 Parameter-Efficient Fine-Tuning with Controls ICML 2024 Towards Modular LLMs by Building and Reusing a Library of LoRAs ICML 2024 OpenLoRa: Validating LoRa Implementations through an Extensible and Open-sourced Framework NSDI 2023