parameter-efficient fine-tuning

Thinking Fast and Slow: Robust Speech Recognition via Deep Filter-Tuning Interspeech 2025 Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning EMNLP 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models NAACL 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Towards More Efficient Post-training via Fourier Domain Adapter Framework EMNLP 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning ICLR 2025 Training Long-Context LLMs Efficiently via Chunk-wise Optimization ACL 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models ICLR 2025 Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025 Transformer-Squared: Self-adaptive LLMs ICLR 2025 Troopers at BLP-2025 Task 2: Reward-Selective Fine-Tuning based Code Generation Approach for Bangla Prompts AACL 2025 TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning ICCV 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 Unified Parameter-Efficient Unlearning for LLMs ICLR 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning ICLR 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models EMNLP 2025 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection SemEval 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 VEEF-Multi-LLM: Effective Vocabulary Expansion and Parameter Efficient Finetuning Towards Multilingual Large Language Models COLING 2025 VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping AAAI 2025