conftrace_

parameter-efficient fine-tuning

736 papers

Explore in graph

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

HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers ACL 2024
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs AAAI 2024
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models AAAI 2024
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks AAAI 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NIPS 2024
Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue ACL 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models EMNLP 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models EMNLP 2024
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization EMNLP 2024
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR EMNLP 2024
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model ACL 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning ACL 2024
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models ACL 2024
KG-Adapter: Enabling Knowledge Graph Integration in Large Language Models through Parameter-Efficient Fine-Tuning ACL 2024
DeBERTa Beats Behemoths: A Comparative Analysis of Fine-Tuning, Prompting, and PEFT Approaches on LegalLensNER EMNLP 2024
Yes-MT’s Submission to the Low-Resource Indic Language Translation Shared Task in WMT 2024 EMNLP 2024
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning ACL 2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter ACL 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation EMNLP 2024