conftrace_

parameter-efficient fine-tuning

736 papers

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Also known as

PEFT

Co-occurring keywords

low-rank adaptation (560) large language model (13587) model compression (3302) transfer learning (5449) parameter efficient fine-tuning (168) knowledge distillation (3725) few-shot learning (3398) domain adaptation (4595) vision-language model (2348) language model (4599)

Papers

VEEF-Multi-LLM: Effective Vocabulary Expansion and Parameter Efficient Finetuning Towards Multilingual Large Language Models COLING 2025
PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets NAACL 2025
Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models EMNLP 2025
CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning EMNLP 2025
Task-Aware Resolution Optimization for Visual Large Language Models EMNLP 2025
Sparsity May Be All You Need: Sparse Random Parameter Adaptation EMNLP 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025
LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations EMNLP 2025
300k/ns team at the Crypto Trading Challenge Task: Enhancing the justification of accurate trading decisions through parameter-efficient fine-tuning of reasoning models COLING 2025
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025
Adaptive Parameter Selection for Tuning Vision-Language Models CVPR 2025
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning CVPR 2025
Instant Adversarial Purification with Adversarial Consistency Distillation CVPR 2025
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks CVPR 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025
Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework ACL 2025
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025
NormAL LoRA: What is the perfect size? EMNLP 2025
Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves CVPR 2025