parameter-efficient fine-tuning

Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023 Know Where You’re Going: Meta-Learning for Parameter-Efficient Fine-Tuning ACL 2023 Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation EACL 2023 Leveraging Prefix Transfer for Multi-Intent Text Revision ACL 2023 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023 Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA EMNLP 2023 Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning NeurIPS 2023 MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting EACL 2023 Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization NeurIPS 2023 Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training ACL 2023 Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories ACL 2023 Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models EMNLP 2023 Mixture of Soft Prompts for Controllable Data Generation EMNLP 2023 Multi-Head Adapter Routing for Cross-Task Generalization NeurIPS 2023 NAVER LABS Europe’s Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track ACL 2023 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023 On the Effectiveness of Parameter-Efficient Fine-Tuning AAAI 2023 OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models ACL 2023 Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment EMNLP 2023 Parameter-Efficient Fine-Tuning Design Spaces ICLR 2023 Parameter-Efficient Finetuning for Robust Continual Multilingual Learning ACL 2023 Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023 Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings EMNLP 2023