low-rank adaptation

GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction NeurIPS 2023 HyperTuning: Toward Adapting Large Language Models without Back-propagation ICML 2023 Language Models Meet World Models: Embodied Experiences Enhance Language Models NeurIPS 2023 Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models NeurIPS 2023 One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning ACL 2023 Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023 Parameter-Efficient Fine-Tuning Design Spaces ICLR 2023 PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching EMNLP 2023 QLoRA: Efficient Finetuning of Quantized LLMs NeurIPS 2023 Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023 Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning EMNLP 2023 Task-Agnostic Low-Rank Adapters for Unseen English Dialects EMNLP 2023 YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification ACL 2023 AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022 Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding Interspeech 2022 LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022 Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting CoRL 2022