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

LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models CVPR 2025
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers CVPR 2025
MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product NAACL 2025
Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation CVPR 2025
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking CVPR 2025
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence NAACL 2025
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation CVPR 2025
SpeechEE@XLLM25: End-to-End Structured Event Extraction from Speech ACL 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025
JGU Mainz’s Submission to the WMT25 Shared Task on LLMs with Limited Resources for Slavic Languages: MT and QA EMNLP 2025
JU-NLP: Improving Low-Resource Indic Translation System with Efficient LoRA-Based Adaptation EMNLP 2025
Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo EMNLP 2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance AAAI 2025
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025
Interweaving Memories of a Siamese Large Language Model AAAI 2025
MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing AAAI 2025
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs NAACL 2025