parameter-efficient fine-tuning

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ICLR 2024 FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024 Fast Forwarding Low-Rank Training EMNLP 2024 FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models EMNLP 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NeurIPS 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NeurIPS 2024 Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 FouRA: Fourier Low-Rank Adaptation NeurIPS 2024 From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024 G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks AAAI 2024 Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning ACL 2024 Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024 GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment ACL 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024 GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning EMNLP 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024 HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers ACL 2024 HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024