low-rank adaptation

Fine-tuning Strategies for Automatic Speech Recognition of Low-Resource Speech with Autism Spectrum Disorder Interspeech 2025 Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin EMNLP 2025 FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference ACL 2025 Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape ICML 2025 FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025 Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025 From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning ICCV 2025 FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training ICML 2025 FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method EMNLP 2025 GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning EMNLP 2025 Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations ICCV 2025 GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction ACL 2025 GeoLoRA: Geometric integration for parameter efficient fine-tuning ICLR 2025 GinGer at SemEval-2025 Task 11: Leveraging Fine-Tuned Transformer Models and LoRA for Sentiment Analysis in Low-Resource Languages SemEval 2025 GRPO-Guided Modality Selection Enhanced LoRA-Tuned LLMs for Multimodal Emotion Recognition EMNLP 2025 HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025 Hiding Images in Diffusion Models by Editing Learned Score Functions CVPR 2025 Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning ACL 2025 HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models ICLR 2025 HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts ICLR 2025 HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection AAAI 2025 HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation ICCV 2025 How Much is Too Much? Exploring LoRA Rank Trade-offs for Retaining Knowledge and Domain Robustness IJCNLP 2025 How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? NAACL 2025 HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025