parameter-efficient fine-tuning

Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023 Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing NeurIPS 2023 PEFTDebias : Capturing debiasing information using PEFTs EMNLP 2023 Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023 PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation ACL 2023 Plug-and-Play Document Modules for Pre-trained Models ACL 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models ACL 2023 Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning EMNLP 2023 QLoRA: Efficient Finetuning of Quantized LLMs NeurIPS 2023 RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models ACL 2023 Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods Interspeech 2023 rematchka at NADI 2023 shared task: Parameter Efficient tuning for Dialect Identification and Dialect Machine Translation EMNLP 2023 Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts EMNLP 2023 Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023 SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning EMNLP 2023 Task-Agnostic Low-Rank Adapters for Unseen English Dialects EMNLP 2023 Task-Specific Skill Localization in Fine-tuned Language Models ICML 2023 Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language AAAI 2023 Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning ACL 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding ACL 2023 Towards Practical Plug-and-Play Diffusion Models CVPR 2023