parameter-efficient fine-tuning

MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts NAACL 2025 MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing AAAI 2025 MoFE: Mixture of Frozen Experts Architecture NAACL 2025 MoKA:Parameter Efficiency Fine-Tuning via Mixture of Kronecker Product Adaption COLING 2025 MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025 MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling ICLR 2025 MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition ICML 2025 Monolingual Adapter Networks for Efficient Cross-Lingual Alignment EMNLP 2025 MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning ACL 2025 MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning COLING 2025 MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025 MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025 Multi-BERT: Leveraging Adapters for Low-Resource Multi-Domain Adaptation NAACL 2025 Multilingual Federated Low-Rank Adaptation for Collaborative Content Anomaly Detection across Multilingual Social Media Participants EMNLP 2025 Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER EMNLP 2025 Music for All: Representational Bias and Cross-Cultural Adaptability of Music Generation Models NAACL 2025 Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025 NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 NormAL LoRA: What is the perfect size? EMNLP 2025 Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models NAACL 2025 Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm NAACL 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025 One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models AAAI 2025