conftrace_

parameter-efficient fine-tuning

1,055 papers

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Also known as

PEFT

Co-occurring keywords · papers mentioning both

low-rank adaptation (335) large language model (259) model compression (168) transfer learning (114) knowledge distillation (66) domain adaptation (60) vision-language model (55) few-shot learning (54) language model (54) prompt tuning (45)

Papers

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation ICLR 2025 PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning COLING 2025 PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning CVPR 2025 PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches ICLR 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts ACL 2025 Progressive LoRA for Multimodal Continual Instruction Tuning ACL 2025 Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness CVPR 2025 ProMALex: Progressive Modular Adapters for Multi-Jurisdictional Legal Language Modeling ACL 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025 Prompt Compression for Large Language Models: A Survey NAACL 2025 PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 Propulsion: Steering LLM with Tiny Fine-Tuning COLING 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation ICCV 2025 QERA: an Analytical Framework for Quantization Error Reconstruction ICLR 2025 QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation ICCV 2025 Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis ACL 2025 Quantum-PEFT: Ultra parameter-efficient fine-tuning ICLR 2025 R3Mem: Bridging Memory Retention and Retrieval via Reversible Compression ACL 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025 RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning ICCV 2025 RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025 RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025 RaSA: Rank-Sharing Low-Rank Adaptation ICLR 2025 Referring Expression Comprehension for Small Objects ICCV 2025