parameter-efficient fine-tuning

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark EACL 2026 PEFT-BoA: Parameter-Efficient Fine-Tuning with Bag-of-Adapters for Multi-Modal Object Re-identification AAAI 2026 PEFT-DML: Parameter-Efficient Fine-Tuning Deep Metric Learning for Robust Multi-Modal 3D Object Detection in Autonomous Driving (Student Abstract) AAAI 2026 PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models EACL 2026 PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models ACL 2026 Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026 PMWP: A Benchmark for Math Word Problem Solving in Persian EACL 2026 PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding CVPR 2026 PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection SemEval 2026 Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy CVPR 2026 PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation ACL 2026 Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce ACL 2026 ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI 2026 Protect to Adapt: Orthogonal Subspace Control with Ranked Negative-Prompt Curriculum for Few-Shot Action Recognition CVPR 2026 Punctuation-Steered Representation Fine-Tuning ACL 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs AAAI 2026 QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation WACV 2026 RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning EACL 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 ReFTA: Breaking the Weight Reconstruction Bottleneck in Tensorized Parameter-Efficient Fine-Tuning CVPR 2026 Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models CVPR 2026 RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models AAAI 2026 RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026