{"total":32,"rows":[{"id":"2407.11046","title":"A Survey on LoRA of Large Language Models","created":"2024-07-08","cited_by_count":67,"area":null},{"id":"2410.19878","title":"Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies","created":"2024-10-24","cited_by_count":47,"area":null},{"id":"2404.07919","title":"ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting","created":"2024-04-11","cited_by_count":9,"area":null},{"id":"2410.14633","title":"Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning","created":"2024-10-18","cited_by_count":7,"area":null},{"id":"2502.06029","title":"DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations","created":"2025-02-09","cited_by_count":7,"area":null},{"id":"2501.04293","title":"TADFormer : Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning","created":"2025-01-08","cited_by_count":5,"area":null},{"id":"2510.19733","title":"Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning","created":"2025-10-22","cited_by_count":5,"area":null},{"id":"2408.09336","title":"Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration","created":"2024-08-18","cited_by_count":3,"area":null},{"id":"2505.18640","title":"ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation","created":"2025-05-24","cited_by_count":3,"area":null},{"id":"2504.00460","title":"MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2510.12160","title":"State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2601.22708","title":"A Unified Study of LoRA Variants: Taxonomy, Review, Codebase, and Empirical Evaluation","created":"2026-01-30","cited_by_count":2,"area":null},{"id":"2503.07748","title":"AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2504.12997","title":"All-in-One Transferring Image Compression from Human Perception to Multi-Machine Perception","created":"2025-04-17","cited_by_count":1,"area":null},{"id":"2505.12318","title":"Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2507.11411","title":"Robust-Multi-Task Gradient Boosting","created":"2025-07-15","cited_by_count":1,"area":null},{"id":"2508.02978","title":"Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2509.06096","title":"MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation","created":"2025-09-07","cited_by_count":1,"area":null},{"id":"2510.04295","title":"Hypernetwork-Driven Low-Rank Adaptation Across Attention Heads","created":"2025-10-05","cited_by_count":1,"area":null},{"id":"2512.20420","title":"Simplifying Multi-Task Architectures Through Task-Specific Normalization","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2602.08505","title":"Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.21111","title":"Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning","created":"2026-03-22","cited_by_count":1,"area":null},{"id":"2607.03004","title":"REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2607.03094","title":"Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2512.24603","title":"Collaborative Low-Rank Adaptation for Pre-Trained Vision Transformers","created":"2025-12-31","cited_by_count":0,"area":null},{"id":"2603.01526","title":"Scalable Multi-Task Low-Rank Model Adaptation","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2603.03920","title":"BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2603.07570","title":"Efficient RGB-D Scene Understanding via Multi-task Adaptive Learning and Cross-dimensional Feature Guidance","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2603.20403","title":"FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.14805","title":"From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.27487","title":"Low Rank Adaptation for Adversarial Perturbation","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2608.26655","title":"When Privacy Hurts Mergeability: Geometry-Aware Model Merging under Differential Privacy","created":"2026-08-27","cited_by_count":0,"area":null}],"next_cursor":null}