Low-Rank Adaptation

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  1. Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning

    Jul 6, 2026Fabien PollyLow-Rank Adaptation AdaptersBackdoor Attacks

  2. Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing

    Jul 6, 2026Babak Barazandeh, Subhabrata Majumdar, Vinay Prithyani +1Low-Rank AdaptationSparse Expert Activation

  3. LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models

    Jul 6, 2026Marian Lupascu, Sebastian Ripa, Mihai Trascau +2Text-To-Image Diffusion ModelsLow-Rank Adaptation

  4. LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure

    Jul 6, 2026Yueyang Wang, Baolong Bi, Shuo Lu +1Supervised Fine-TuningFinetuning

  5. AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer

    Jul 6, 2026Yongwen Lai, Chaoqun WangPhotorealistic Style TransferSingle Images

  6. RSLoRA: Training-free Rank Allocation for LoRA via Representational Sensitivity Probing

    Jul 5, 2026Jiaqi Liu, Haidong Kang, Qihui Zhao +1Gradient-Free Rank AllocatorLow-Rank Adaptation

  7. Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory

    Jul 5, 2026Fengxian Ji, Zhuohan Xie, Jingpu Yang +3Low-Rank Adaptation

  8. Enhancement of E-commerce Sponsored Search Relevancy with LLM

    Jul 4, 2026Md Omar Faruk Rokon, Andrei Simion, Weizhi Du +3RelevanceE-Commerce

  9. ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning

    Jul 4, 2026Wentao LuLow-Rank Adaptation AdaptersLarge Language Model Fine-Tuning

  10. Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation

    Jul 3, 2026Wei Zhang, Lin Tang, Ming Zhao +1Domain AdaptationLow-Rank Adaptation Adapters

  11. Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding

    Jul 3, 2026Aymen Sarhane, Fouad Lbakali, Mouad Souissi +2Electroencephalography Foundation ModelsMotor Imagery

  12. ReLo-IRR: Reflection-Guided LoRA Framework for Image Reflection Removal

    Jul 3, 2026Chaoqun Wang, Yuehuan Wei, Haoxiang Cao +1Spectral ReflectanceImage Denoising

  13. DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning

    Jul 3, 2026Hanchen Cui, Sergio Arnaud, Arjun Majumdar +5Pretrained Vision-Language-ActionLatent World Models

  14. Provable Pruning for Efficient 3D Gaussian Splatting via Coresets

    Jul 2, 2026Waseem Mousa, Alaa Maalouf3D Gaussian Splats3D Gaussian Splatting

  15. Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation

    Jul 2, 2026Jijie Zhang, Zhe Ren, Quan Zhang +1Large Language Model UncertaintyLow-Rank Adaptation

  16. Efficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUs

    Jul 2, 2026Altay Toktassyn, Jurn-Gyu ParkParameter-Efficient Fine-TuningVision Foundation Models

  17. EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning

    Jul 2, 2026Ahin Lee, Sehyun Yun, Taesik GongParameter-Efficient Fine-TuningMixture-of-Experts Models

  18. Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing

    Jul 2, 2026Joshua PenmanLarge Language Model HallucinationEpistemic Actions

  19. ZO-Act: Efficient Zeroth-Order Fine-Tuning via One-Shot Activation-Informed Low-Rank Subspaces

    Jul 1, 2026Xun Dong, Yibo Xu, Naigang Wang +3Continual Fine-TuningLarge Language Model Fine-Tuning

  20. Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use

    Jul 1, 2026Song-Lin Lv, Weiming Wu, Rui Zhu +2Supervised Fine-TuningTool

  21. Loss Smoothing for Stable Adaptation Under Distribution Shift

    Jul 1, 2026Darshan Patil, Ekaterina Lobacheva, Razvan Pascanu +1Parameter-Efficient AdaptationSmoothing

  22. HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding

    Jul 1, 2026Ji Ha Jang, Hayeon Kim, Chulwon Lee +2Few-Shot Contrastive Language-Image Pre-Training AdaptationEfficient Long-Context Inference

  23. DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images

    Jul 1, 2026Ke Wu, Yanan Zhang, Yingjie Gao +5Unmanned Aerial Vehicle DetectionVision-Language Model Adaptation

  24. FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts

    Jun 30, 2026Tom Saliencro, Maya Lindqvist, Rohan Desai +2Parameter-Efficient Fine-TuningMixture-of-Experts Models

  25. CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation

    Jun 30, 2026Pengcheng Wang, Ziran Liu, Wei Wang +1Parameter-Efficient Fine-TuningSingular Value Decomposition

  26. FaceMoE: Mixture of Experts for Low-Resolution Face Recognition

    Jun 30, 2026Kartik Narayan, Vishal M. PatelFacial RecognitionLow-Resolution

  27. Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in RLVR

    Jun 30, 2026Ruijia Zhang, Jiacheng Zhu, Hanqing Zhu +1Low-Rank AdaptationReinforcement Learning With Verifiable Reward

  28. Adapting Foundation ASR Models to Dysarthric Speech: A Case Study

    Jun 30, 2026Christian Huber, Laura Kernahan, Alexander WaibelDysarthric SpeechAutomatic Speech Recognition Systems

  29. Nonlinearity-Aware LoRA: Structured Gate Adaptation under Low-Rank Constraints

    Jun 30, 2026Shuai Yuan, Sudong Cai, Bingzhi Chen +4Low-Rank AdaptationFeed-Forward Network

  30. Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering

    Jun 30, 2026Hao Gong, Ruilin Gong, Yining HuangMulti-Hop Question Answering BenchmarksLow-Rank Adaptation

  31. Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs

    Jun 30, 2026Seyed Alireza Molavi, Zhan Su, Yan Hu +3Low-Rank Adaptation AdaptersLow-Rank Adaptation

  32. Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models

    Jun 30, 2026Duc Anh Nguyen, Tien Ngoc Luu, Tung Pham +1Parameter-Efficient Fine-TuningFinetuning

  33. Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation

    Jun 30, 2026Yucheng Chen, Jinjing Zhu, Yang Yu +7Radiology Report GenerationChest Radiography

  34. Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval

    Jun 29, 2026Aivin V. Solatorio, Olivier Dupriez, Rafael MacalabaMetadataDomain-Invariant Text Embeddings

  35. Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation

    Jun 29, 2026Bertram Taetz, Hugo Albuquerque Cosme da Silva, Gabriele Bleser-TaetzMultilingual AgentsVideo-Language Models

  36. Defending Against Harmful Supervision Hidden in Benign Samples

    Jun 29, 2026Bang An, Yibo Yang, Dandan Guo +3Harmful Fine-TuningSupervised Fine-Tuning

  37. DNA Language Models: An Assessment of Pre-Training for Fine-Tuning Tasks

    Jun 29, 2026Romain Karpinsky, Julien Mozziconacci, Mickaël DelceyGenerative Pretrained TransformersGenomics

  38. EVAF: A Test-Retest Protocol for Selective Parametric Consolidation

    Jun 29, 2026Haoliang HanConsolidationFactual Recall

  39. Semi-Supervised Sound Event Detection with Conditional Mixup and Embedding-Level Contrastive Loss

    Jun 29, 2026Nian Shao, Xian Li, Xiaofei LiContrastive LossSupervised Fine-Tuning

  40. Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model

    Jun 28, 2026Sercan Karakaş, Yusuf ŞimşekLarge Language Model Fine-TuningSentiment Analysis

  41. Mechanistically Eliciting Latent Behaviors in Language Models

    Jun 28, 2026Andrew Mack, Nina Panickssery, Alexander Matt TurnerModel ActivationsCausal Reasoning

  42. Optimizer Memory Makes Shuffle Order a First-Order Source of Fine-Tuning Noise

    Jun 28, 2026John SweeneySingle-Message Shuffle ModelFinetuning

  43. GarmentZoom: Generating Zoomable Images from Garment Listings

    Jun 28, 2026Renjie Zhao, Jingwei Ma, Huy Huynh Cao +3GarmentsSuper-Resolution Framework

  44. TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs

    Jun 28, 2026Shucan Ji, Yining Huang, Hongliang GuoLow-Rank AdaptationDanger Recognition

  45. BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning

    Jun 28, 2026Zhibin Duan, Yuhong Wang, Jiahong Fu +3Low-Rank AdaptationParameter-Efficient Fine-Tuning

  46. Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline

    Jun 27, 2026Dianwei Chen, Yuan-Zheng Lei, Zifan Zhang +2Generative Artificial IntelligenceLow-Rank Adaptation

  47. Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation

    Jun 27, 2026Sanjeepan Sivapiran, Gias UddinLarge Language Model AlignmentCode Quality

  48. Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B

    Jun 27, 2026Zhaoyang Li, Ruijie Zhang, Jiaqi Liu +1Agricultural LandscapesLarge Language Model Adaptation

  49. The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning

    Jun 27, 2026Will Hawkins, Kaivalya Rawal, Jonathan Rystrøm +8Multilingual SafetyLarge Language Model Safety

  50. Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs

    Jun 26, 2026Cristhian Kapelinski, Diego KreutzSmall Language ModelsLarge Language Model Fine-Tuning

  51. Monocular Avatar Reconstruction via Cascaded Diffusion Priors and UV-Space Differentiable Shading

    Jun 26, 2026Hong Li, Minqi Meng, Yanjun Liang +10Animatable 3D Human AvatarsInverse Rendering

  52. When One Adapter Speaks for Many: Discovering Low-Rank Redundancy in Continual Fine-Tuning

    Jun 26, 2026Tanguy Dieudonné, Giulia Lanzillotta, Enis Simsar +2Low-Rank Adaptation AdaptersContinual Fine-Tuning

  53. TextDS: Parameter-Efficient Representation Alignment for Scene Text Detection under Distribution Shifts

    Jun 26, 2026Boyuan Chen, Zichen Dang, Chuang Yang +2Scene Text RecognitionVideo-Text Alignment

  54. Can LLMs Judge Better Than They Generate? Evaluating Task Asymmetry, Mechanistic Interpretability and Transferability for In-Context QA

    Jun 26, 2026Sambaran BandyopadhyaySelf-AssessmentsIn-Context

  55. LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Features

    Jun 26, 2026Jonghyeon Park, Olivier Jiyoun Jung, Myungwoo OhMild Cognitive ImpairmentAlzheimer

  56. Low-Agreeableness Persona Conditioning for Safe LLM Fine-Tuning

    Jun 26, 2026Austin MY Cheung, Yi YangLarge Language Model Fine-TuningFinetuning

  57. ZooClaw-FashionSigLIP2: Distilled Fine-tuning for Robust Fashion Retrieval

    Jun 26, 2026Siqiao Xue, Chunxue XuLarge Vision Language ModelsGarments

  58. Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis

    Jun 26, 2026Thomas S. Paula, Lucas S. Kupssinskü, Rodrigo C. BarrosEfficient Continual LearningSmall Language Models

  59. Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language Agents

    Jun 25, 2026Haoliang HanConsolidationMultilingual Agents

  60. Reasoning Quality Emerges Early: Data Curation for Reasoning Models

    Jun 25, 2026Hongyi Henry Jin, Wenhan Yang, Meysam Ghaffari +2Large Reasoning ModelsReasoning Traces