low-rank adapter

zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025 Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning NeurIPS 2024 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ICLR 2024 Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters ICML 2024 Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024 Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning AAAI 2024 HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024 LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models COLING 2024 LoQT: Low-Rank Adapters for Quantized Pretraining NeurIPS 2024 LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters EMNLP 2024 LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models EMNLP 2024 SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models EMNLP 2024 The Art of Saying No: Contextual Noncompliance in Language Models NeurIPS 2024 1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions CVPR 2023 AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning EMNLP 2022