Co-occurring keywords · papers mentioning both
Papers
Vision Graph Prompting via Semantic Low-Rank Decomposition
ICML 2025
Visual Consensus Prompting for Co-Salient Object Detection
CVPR 2025
Visually-Adaptive Guided Robust Speech Recognition with Parameter-Efficient Adaptation
Interspeech 2025
VIT-Pro: Visual Instruction Tuning for Product Images
NAACL 2025
Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation
ACL 2025
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
ACL 2025
What can Large Language Models Capture about Code Functional Equivalence?
NAACL 2025
What Causes Knowledge Loss in Multilingual Language Models?
ACL 2025
Wonderland_EDU@HKU at BEA 2025 Shared Task: Fine-tuning Large Language Models to Evaluate the Pedagogical Ability of AI-powered Tutors
ACL 2025
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
AAAI 2025
Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
ICML 2025
Zero-Shot Cross-Lingual Transfer using Prefix-Based Adaptation
EMNLP 2025
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
ICLR 2025
zFLoRA: Zero-Latency Fused Low-Rank Adapters
EMNLP 2025
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
NeurIPS 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
NeurIPS 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
EMNLP 2024
AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product
COLING 2024
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
AAAI 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
EMNLP 2024
Adapters Strike Back
CVPR 2024
AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model
Interspeech 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
EMNLP 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
ACL 2024
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024