Low-Rank Adaptation Experts

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1 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Parameter-Efficient AdaptationAdaptersLow-Rank AdaptersUnseen-Task AdaptationAdaptive-Rank Low-Rank Adaptation BaselinesRank-Gated Low-Rank AdaptationMamba-Modulated Low-Rank AdaptationStandard Low-Rank Adaptation

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Low-Rank Adaptation Experts.

Period ending 2026-09-07

11 new papers

A weekly snapshot of new work published in Low-Rank Adaptation Experts.

27 papers

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  1. Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning

    Sep 12, 2026Iman Khazrak, Narges Nejad, Mostafa M. Rezaee +1Low-Rank Adaptation ExpertsDiffusion Models

  2. Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation

    Aug 10, 2026Xuanyu Liu, Zheng Fang, Hongyang He +2Vision-Language Model AdaptationNoisy Labels

  3. LoRAScan: Detecting Backdoor Prompts in Low-Rank Adapters for Large Language Models via Down-Projection Activation Spikes

    Aug 7, 2026Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo +1Backdoor AttacksLow-Rank Adapters

  4. MoEGen: Mixture-of-Experts for Instance-Adaptive LoRA Generation

    Aug 4, 2026Yiming Zeng, Lei Lu, Zexin Li +9Low-Rank Adaptation ExpertsReasoning Benchmark

  5. Uncertainty Is Not Enough: Value-of-Information Routing for Mixtures of LoRA Experts

    Aug 3, 2026Tom Saliencro, Rohan Desai, Priya Nair +2Mixture-Of-Expert RoutingExperts

  6. DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation

    Jul 20, 2026Siobhan Reid, Zhixiang Chi, Li Gu +3Unsupervised Domain AdaptationDomain Adaptation

  7. Parameter-Efficient Vision-Language Adaptation with Continuous Metadata Conditioning for Animal Re-Identification

    Jul 10, 2026Anil Osman Tur, Tonje Knutsen Sordalen, Kim Tallaksen Halvorsen +1Animal Re-IdentificationVision-Language Model Adaptation

  8. Managing Task Execution for Unknown Workloads in Batteryless IoT: A Hardware-Agnostic Evaluation

    Jun 23, 2026Samer Nasser, Henrique Duarte Moura, Ritesh Kumar Singh +2WorkloadInternet Of Thing

  9. Variable-Rate Deep Image Compression based on Low-Rank Adaptation by Progressive Learning

    Jun 15, 2026Xing-Yu Xu, Chen-Hsiu Huang, Ja-Ling WuImage CompressionModel and Context Compression

  10. PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity

    Jun 14, 2026Muhammad Waseem, Nurbek Tastan, Andrej Jovanovic +4Federated Fine-TuningLow-Rank Adaptation Experts

  11. Recoverable but Not Stationary:Local Linear Structures in Weights and Activations

    Jun 9, 2026Irina Piontkovskaia, Sergey NikolenkoLow-Rank Adaptation ExpertsActivation Steering

  12. HyperVis: Continuous Latent Visual Relational Graphs on the Lorentz Hyperboloid for Compositional Reasoning

    Jun 4, 2026Moshiur Farazi, Sameera Ramasinghe, Mahbub Ahmed Turza +13D Scene GraphsHypersphere

  13. Rethinking LoRA Memory Through the Lens of KV Cache Compression

    Jun 4, 2026Chunsheng Zuo, Liaoyaqi Wang, William Jurayj +2Key-Value Cache CompressionKey-Value Cache

  14. Subliminal Learning is a LoRA Artifact

    May 30, 2026Todd Nief, Harvey Yiyun Fu, Mark Muchane +1Low-Rank Adaptation Experts

  15. Logit Distillation on Manifolds: Mapping by Learning

    May 30, 2026Yiru Yang, Junling Wang, Nishant Kumar Singh +2Progressive DistillationTraining Models

  16. NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs

    May 28, 2026Shuaidi Wang, Zhan Zhuang, Ruping Huang +1Diffusion Language ModelsAdaptive-Rank Low-Rank Adaptation Baselines

  17. Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting

    May 28, 2026Runze Xu, Arpit Garg, Hemanth Saratchandran +1Low-Rank Adaptation ExpertsLarge Language Model Adaptation

  18. SeqLoRA: Bilevel Orthogonal Adaptation for Continual Multi-Concept Generation

    May 21, 2026Javad Parsa, Enis Simsar, Amir Joudaki +2Text-To-Image Diffusion ModelsLow-Rank Adaptation Experts

  19. Continual Fine-Tuning of Large Language Models via Program Memory

    May 13, 2026Hung Le, Svetha VenkateshEfficient Continual LearningLow-Rank Adaptation Experts

  20. PRISM: A Geometric Risk Bound that Decomposes Drift into Scale, Shape, and Head

    May 12, 2026Chieh-Yen Lin, Shao-Hua SunPrismLow-Rank Adaptation Experts

  21. When More Parameters Hurt: Foundation Model Priors Amplify Worst-Client Disparity Under Extreme Federated Heterogeneity

    May 9, 2026Kiran Naseer, Umar ShoaibFairness-Aware LearningWireless Foundation Models

  22. Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation

    May 8, 2026Haozhan Tang, Xiuqi Zhu, Xinyin Zhang +3Large Language Model AdaptationLow-Rank Adaptation Experts

  23. Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning

    May 7, 2026Bing Wang, Ximing Li, Changchun Li +3Cross-Task InterferenceLow-Rank Adaptation Experts

  24. RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

    Apr 21, 2026Yusuf Çelebi, Yağız Asker, Özay Ezerceli +4Low-Rank Adaptation ExpertsLarge Language Model Adaptation

  25. SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning

    Apr 21, 2026Boyan Shi, Wei Chen, Shuyuan Zhao +4Low-Rank Adaptation ExpertsMulti--Task Learning

  26. Spanning the Visual Analogy Space with a Weight Basis of LoRAs

    Feb 17, 2026Hila Manor, Rinon Gal, Haggai Maron +2Low-Rank Adaptation ExpertsVisual Representations

  27. LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing

    Jul 5, 2025Jiahao Chen, Junhao Li, Yiming Wang +6Text-To-Image Diffusion ModelsLow-Rank Adaptation Experts