parameter-efficient fine-tuning

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024 Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization ICLR 2024 Parameter Efficient Self-Supervised Geospatial Domain Adaptation CVPR 2024 Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024 PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment EMNLP 2024 PEK: A Parameter-Efficient Framework for Knowledge-Grounded Dialogue Generation ACL 2024 PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models NAACL 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 Personalized LoRA for Human-Centered Text Understanding AAAI 2024 Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts EMNLP 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models NeurIPS 2024 Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models AAAI 2024 Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models EMNLP 2024 PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation EACL 2024 PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Prompting Multi-Modal Image Segmentation with Semantic Grouping AAAI 2024 Prompt Learning with Extended Kalman Filter for Pre-trained Language Models IJCAI 2024 Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation NeurIPS 2024 Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning ICLR 2024 QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ICLR 2024 QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning EMNLP 2024 QEFT: Quantization for Efficient Fine-Tuning of LLMs EMNLP 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024