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

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024
Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024
Unsupervised Human Preference Learning EMNLP 2024
Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls IJCAI 2024
SimDA: Simple Diffusion Adapter for Efficient Video Generation CVPR 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification EMNLP 2024
KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation EMNLP 2024
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction CVPR 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning CVPR 2024
Continual Forgetting for Pre-trained Vision Models CVPR 2024
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NIPS 2024
Where does In-context Learning Happen in Large Language Models? NIPS 2024
Vision-Language Models are Strong Noisy Label Detectors NIPS 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NIPS 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models NIPS 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NIPS 2024
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification SEMEVAL 2024
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SEMEVAL 2024