parameter-efficient fine-tuning

Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024 Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark COLING 2024 Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts ICLR 2024 DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution ACL 2024 DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NeurIPS 2024 DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Dual-Pipeline with Low-Rank Adaptation for New Language Integration in Multilingual ASR Interspeech 2024 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NeurIPS 2024 Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SemEval 2024 Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation NeurIPS 2024 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ICLR 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Efficient Stitchable Task Adaptation CVPR 2024 EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing NeurIPS 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data COLING 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections ICML 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation EMNLP 2024 Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task NAACL 2024