Imagen de Portada

MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-Tuning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng, Xinhan, Wu, Huyu, Wang, Xueting, Su, Duo, Jiang, Haiyun
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Multimedia
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mixture of LoRA Experts
por: Wu, Xun, et al.
Publicado: (2024)

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning
por: Zhang, Haojie, et al.
Publicado: (2025)

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection
por: Pan, Zihan, et al.
Publicado: (2025)

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
por: Zhu, Zhanda, et al.
Publicado: (2025)

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
por: Tian, Chunlin, et al.
Publicado: (2024)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
por: Deng, Guanzhi, et al.
Publicado: (2026)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
por: Azimi, Rambod, et al.
Publicado: (2024)

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
por: Vulić, Ivan, et al.
Publicado: (2026)

Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters
por: Chiu, Pin-Yen, et al.
Publicado: (2025)

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
por: Wang, Dannong, et al.
Publicado: (2025)

Rethinking the Rank Threshold for LoRA Fine-Tuning
por: Park, Juneyoung
Publicado: (2026)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
por: Sheng, Ying, et al.
Publicado: (2023)

When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
por: Wu, Huyu, et al.
Publicado: (2025)

Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
por: Meo, Cristian, et al.
Publicado: (2024)

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
por: Zuo, Jingwei, et al.
Publicado: (2026)

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
por: Bian, Jieming, et al.
Publicado: (2026)

RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training
por: Ding, Muhe, et al.
Publicado: (2024)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
por: Shen, Yixin
Publicado: (2025)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
por: Trojan, Bartosz, et al.
Publicado: (2026)

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
por: Li, Dengchun, et al.
Publicado: (2024)

LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
por: Che, Chang, et al.
Publicado: (2025)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
por: Ran, Delong, et al.
Publicado: (2025)

LoRA as Oracle
por: Arazzi, Marco, et al.
Publicado: (2026)

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
por: Wang, Shuaidi, et al.
Publicado: (2026)

R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
por: Liu, Jinda, et al.
Publicado: (2025)

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback
por: Yang, Yiyuan, et al.
Publicado: (2025)

mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
por: Ye, Zhengmao, et al.
Publicado: (2023)

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
por: Luo, Minrui, et al.
Publicado: (2025)

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
por: Bian, Jieming, et al.
Publicado: (2024)

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
por: Chen, Guanduo, et al.
Publicado: (2025)

Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
por: Seregina, Irina, et al.
Publicado: (2025)

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
por: Lee, Seungeon, et al.
Publicado: (2025)

FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
por: Yan, Peishen, et al.
Publicado: (2026)

HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
por: Zheng, Chuhang, et al.
Publicado: (2025)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
por: Yen, Jui-Nan, et al.
Publicado: (2024)

HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
por: Su, Yang, et al.
Publicado: (2024)

Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
por: Liang, Hongyu, et al.
Publicado: (2025)

Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
por: Li, Likun, et al.
Publicado: (2024)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2024)

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
por: Xiao, Yicheng, et al.
Publicado: (2025)