parameter-efficient fine-tuning

Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models ACL 2024 RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models ACL 2024 Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning ICML 2024 RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter ACL 2024 Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 ReFT: Representation Finetuning for Language Models NeurIPS 2024 REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024 Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NeurIPS 2024 ReLoRA: High-Rank Training Through Low-Rank Updates ICLR 2024 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NeurIPS 2024 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024 RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models ACL 2024 RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization EMNLP 2024 RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024 RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation ICML 2024 RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning EMNLP 2024 RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization NAACL 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 SA²VP: Spatially Aligned-and-Adapted Visual Prompt AAAI 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NeurIPS 2024 SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation ICML 2024 SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024 Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation EMNLP 2024 Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection MLHC 2024