parameter-efficient fine-tuning

Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models Interspeech 2024 Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024 BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models EMNLP 2024 BitDelta: Your Fine-Tune May Only Be Worth One Bit NeurIPS 2024 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages ICLR 2024 Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation NeurIPS 2024 BSC Submission to the AmericasNLP 2024 Shared Task NAACL 2024 CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024 Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024 ConstitutionalExperts: Training a Mixture of Principle-based Prompts ACL 2024 Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing NAACL 2024 Continual Forgetting for Pre-trained Vision Models CVPR 2024 Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition Interspeech 2024 Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model ICLR 2024 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NeurIPS 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NeurIPS 2024 Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning ICLR 2024 Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NeurIPS 2024 DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models ICLR 2024 DeBERTa Beats Behemoths: A Comparative Analysis of Fine-Tuning, Prompting, and PEFT Approaches on LegalLensNER EMNLP 2024 Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning NAACL 2024 DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform NeurIPS 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2024 DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024