{"total":34,"rows":[{"id":"2407.11046","title":"A Survey on LoRA of Large Language Models","created":"2024-07-08","cited_by_count":67,"area":null},{"id":"2502.18461","title":"K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs","created":"2025-02-25","cited_by_count":48,"area":null},{"id":"2501.13787","title":"Parameter-Efficient Fine-Tuning for Foundation Models","created":"2025-01-23","cited_by_count":45,"area":null},{"id":"2502.17159","title":"RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness","created":"2025-02-24","cited_by_count":26,"area":null},{"id":"2505.18738","title":"AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping","created":"2025-05-24","cited_by_count":23,"area":null},{"id":"2510.01938","title":"StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold","created":"2025-10-02","cited_by_count":14,"area":null},{"id":"2407.08056","title":"Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences","created":"2024-07-10","cited_by_count":13,"area":null},{"id":"2408.10774","title":"Flexora: Flexible Low Rank Adaptation for Large Language Models","created":"2024-08-20","cited_by_count":13,"area":null},{"id":"2407.09946","title":"Low-Rank Interconnected Adaptation across Layers","created":"2024-07-13","cited_by_count":10,"area":null},{"id":"2408.09856","title":"TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition","created":"2024-08-19","cited_by_count":10,"area":null},{"id":"2505.12716","title":"Shadow-FT: Tuning Instruct Model via Training on Paired Base Model","created":"2025-05-19","cited_by_count":10,"area":null},{"id":"2410.10075","title":"RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates","created":"2024-10-14","cited_by_count":8,"area":null},{"id":"2505.06303","title":"Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction","created":"2025-05-08","cited_by_count":7,"area":null},{"id":"2506.19847","title":"Orthogonal Finetuning Made Scalable","created":"2025-06-24","cited_by_count":7,"area":null},{"id":"2503.01905","title":"PaCA: Partial Connection Adaptation for Efficient Fine-Tuning","created":"2025-02-28","cited_by_count":6,"area":null},{"id":"2505.23099","title":"Weight Spectra Induced Efficient Model Adaptation","created":"2025-05-29","cited_by_count":5,"area":null},{"id":"2601.22905","title":"FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation","created":"2026-01-30","cited_by_count":5,"area":null},{"id":"2505.23808","title":"DenseLoRA: Dense Low-Rank Adaptation of Large Language Models","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2505.22602","title":"One Rank at a Time: Cascading Error Dynamics in Sequential Learning","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2502.17817","title":"Predicting Through Generation: Why Generation Is Better for Prediction","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2502.19747","title":"HaLoRA: Hardware-aware Low-Rank Adaptation for Large Language Models Based on Hybrid Compute-in-Memory Architecture","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2507.02302","title":"DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning","created":"2025-07-03","cited_by_count":2,"area":null},{"id":"2510.08513","title":"SliceFine: The Universal Winning-Slice Hypothesis for Pretrained Networks","created":"2025-10-09","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":"2505.23094","title":"MAP: Revisiting Weight Decomposition for Low-Rank Adaptation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2602.14490","title":"Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts","created":"2026-02-16","cited_by_count":1,"area":null},{"id":"2410.13408","title":"MoR: Mixture of Ranks for Low-Rank Adaptation Tuning","created":"2024-10-17","cited_by_count":0,"area":null},{"id":"2411.00039","title":"Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models","created":"2024-10-29","cited_by_count":0,"area":null},{"id":"2602.11965","title":"Parameter-Efficient Temporal Domain Generalization","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2602.15539","title":"Dynamic Training-Free Fusion of Subject and Style LoRAs","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2603.06492","title":"NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2604.08368","title":"SOLAR: Communication-Efficient Model Adaptation via Subspace-Oriented Latent Adapter Reparametrization","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2608.07904","title":"DeCo: Zero-Shot Industrial Anomaly Generation through Decoupling and Recoupling","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2608.31036","title":"Normalized Low-Rank Adaptation","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}