low-rank adaptation

MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025 MagicStick: Controllable Video Editing via Control Handle Transformations WACV 2025 Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning ICLR 2025 Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment ICML 2025 MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025 Measuring What Matters: Evaluating Ensemble LLMs with Label Refinement in Inductive Coding ACL 2025 Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering ICLR 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025 META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models COLING 2025 MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models ICLR 2025 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning NAACL 2025 Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures ICLR 2025 Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA EMNLP 2025 MIRAGES at BioLaySumm2025: The Impact of Search Terms and Data Curation for Biomedical Lay Summarization ACL 2025 MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora EMNLP 2025 Mixture of LoRA Experts for Continual Information Extraction with LLMs EMNLP 2025 Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition Interspeech 2025 MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025 MMLoRA: Multitask Memory Parameter-Efficient Fine-Tuning for Multimodal SER Interspeech 2025 MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025 MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts NAACL 2025 Model merging with SVD to tie the Knots ICLR 2025 MoKA:Parameter Efficiency Fine-Tuning via Mixture of Kronecker Product Adaption COLING 2025 MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025