Low-Rank Adaptation

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  1. DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection

    Jun 25, 2026Hun Im, Jungi Lee, Subeen Cha +1Normalizing FlowsAnomaly Detection

  2. SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning

    Jun 24, 2026Omanshu ThapliyalParameter-Efficient Fine-TuningEfficient Long-Context Inference

  3. Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning

    Jun 24, 2026Samuel Valland Lyngset, Tor Viljen Raanaas, Gard Sveipe +4Reinforcement Fine-TuningLow-Rank Adaptation

  4. EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression

    Jun 24, 2026Ke Xu, Jiaqi Wan, Wenhao Hu +2Large Language Model CompressionSparsity

  5. 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

  6. Curvature-Guided Mixing for MLLM Adaptation

    Jun 23, 2026Jinglong Yang, Jiaxuan He, Wenjian Huang +2Large Language Model AdaptationCurvature-Aware Quadratic Banks

  7. Tri-Efficient Transfer Learning for Point Cloud Videos

    Jun 23, 2026Yiding Sun, Dongxu Zhang, Jihua Zhu +63D Single Object TrackingVideo Pretraining

  8. When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs

    Jun 23, 2026Lucky Verma, Pratik YadavDiffusion Language ModelsMasked Diffusion Language Models

  9. Flatness Preserves Instruction Following in Vision-Language-Action Models

    Jun 22, 2026Haochen Zhang, Yonatan BiskVision-LanguageInstruction

  10. Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices

    Jun 22, 2026Changxiao Cai, Yuchen Jiao, Gen LiDiffusion SamplingLow-Dimensional Structure

  11. Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently

    Jun 22, 2026Stanley Wei, Juno KimLarge Reasoning ModelsReinforcement Learning With Verifiable Reward

  12. Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning

    Jun 22, 2026Nuocheng Yang, Yechen He, Sihua Wang +3Federated LearningLow-Rank Adaptation

  13. Subspace-Constrained Federated Learning with Low-Rank Adaptation

    Jun 21, 2026Neranjan Senarath, Rohit Muralitharan, Sadia AsifFederated LearningLow-Rank Adaptation

  14. Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation

    Jun 21, 2026Junshu Sun, Wanxing Chang, Qingming Huang +1Graph Neural NetworksGraph Representations

  15. Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers

    Jun 21, 2026Edwin Kwadwo Tenagyei, Lei Wang, Ugochukwu Ejike Akpudo +2Parameter-Efficient Fine-TuningVision Transformer

  16. MixedPEFT: Combining Multiple PEFT Methods with Mixed Objectives for Unsupervised Domain Adaptation

    Jun 20, 2026Mohammed Rawhani, Dervis Karaboga, Ozkan Ufuk Nalbantoglu +2Domain AdaptationParameter-Efficient Fine-Tuning

  17. Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models

    Jun 20, 2026Colin Samplawski, Ramneet Kaur, Manoj Acharya +2Large Language Model AdaptationLow-Rank Adaptation

  18. Fine-Tuning Large Language Models for Quantum Reasoning

    Jun 20, 2026Katherine Ip, Casey R. Myers, Udaya Parampalli +2Large Language Model QuantizationLarge Language Model Reasoning

  19. CORTIS: Text-Only Adaptation of Spoken Language Models for Task-Oriented Voice Agents

    Jun 19, 2026Youngwon Choi, Hyeonyu Kim, Taeyoun Kwon +2Speech Large Language ModelsVoice Agents

  20. Finetuning with Scientific Data Increases Hallucinations: A Multi-domain Factuality Evaluation of LLMs

    Jun 19, 2026Raia Abu Ahmad, Nikolas Rauscher, Ekaterina Borisova +3FactsMultilingual Fact-Checking

  21. Fara-1.5: Scalable Learning Environments for Computer Use Agents

    Jun 18, 2026Ahmed Awadallah, Sahil Gupta, Yash Lara +12Computer-Use AgentsData Generation

  22. FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining

    Jun 18, 2026Jinghong Lan, Wei Cheng, Yunuo Chen +10Photorealistic Style TransferLarge-Scale Image Generation

  23. Online Dynamic Batching with Formal Guarantees for LLM Training

    Jun 18, 2026Dian Li, Zekun Wang, Yaoru Wang +1Well-Tuned Static Batching PolicyLarge Language Model Fine-Tuning

  24. Cross-Dataset, Age, and Gender Generalization: A Comprehensive Analysis of Fine-Tuning Strategies for Low-Resource Children's ASR

    Jun 18, 2026Abhijit Sinha, Hemant Kumar Kathania, Sudarsana Reddy Kadiri +1Dysarthric SpeechPitch

  25. DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning

    Jun 17, 2026Calvin Luo, Chen Sun, Shuran SongEfficient ExplorationAutonomous Exploration Strategies

  26. MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection

    Jun 17, 2026David M. SmileyBert-Based ModelsGeo-Contextual Alignment

  27. Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates

    Jun 17, 2026Lin Tang, Wei Zhang, Jing Li +3Low-Rank AdaptationLarge Language Model Adaptation

  28. Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices

    Jun 17, 2026Hassan Dbouk, Matthias Reisser, Prathamesh Mandke +2Low-Rank AdaptationQuantizer

  29. A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder-Decoder Architectures

    Jun 17, 2026Timothy Agboada, Shikha Chandel, Yadav Raj Ghimire +1Remote SensingVision-Language Model Adaptation

  30. Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA

    Jun 17, 2026Ikram Belmadani, Oumaima El Khettari, Carlos Ramisch +3Large Language Model AdaptationDomain Adaptation

  31. User as Engram: Internalizing Per-User Memory as Local Parametric Edits

    Jun 17, 2026Bojie LiLarge Language Model MemoryMemory Retrieval

  32. ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL

    Jun 17, 2026Mukund Khanna, Raj Singh Yadav, Kunal SinghImage EditingFrozen Contrastive Language-Image Pre-Training Visual Encoder

  33. ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection

    Jun 17, 2026Enrico Cassano, Michał Brzozowski, Zuzanna Dubanowska +2Parameter-Efficient Fine-TuningUnlabeled Data

  34. PEFT-MedSAM: Efficient Fine-Tuning of Medical Foundation Models for Explainable Skin Lesion Segmentation

    Jun 17, 2026Asad Channa, Abdullah Khan, Asghar Ali Chandio +4Skin Lesion ClassificationDeep Learning

  35. SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR

    Jun 16, 2026Siddharth Aphale, Kelly LiuEntropy CollapseDeepseek

  36. Domain Generalizable Adaptation of 3D Vision-Language Models via Regularized Fine-Tuning

    Jun 16, 2026Sneha Paul, Zachary Patterson, Nizar BouguilaMultimodal Domain GeneralizationVision-Language Model Adaptation

  37. Fine-tuning LLMs for Passive Depression Severity Estimation from AI Mental Health Dialogue

    Jun 16, 2026Olivier Tieleman, Ziyi Zhu, Ting Su +3Depression DetectionDepression

  38. WAM-RL: World-Action Model Reinforcement Learning with Reconstruction Rewards and Online Video SFT

    Jun 16, 2026Zezhong Qian, Xiaowei Chi, Yu Qi +3Efficient World-Action ModelFaster-Wam

  39. TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins

    Jun 16, 2026Yuxiang Luo, Haonan Long, Chen Wang +6FinetuningTuning

  40. DRIFT: Refining Instruction Data via On-Policy Data Attribution

    Jun 16, 2026Zefan Wang, Lincheng Li, Tianyu Yu +1Supervised Fine-TuningReinforcement Fine-Tuning

  41. Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration

    Jun 15, 2026Xiwen Wei, Mark Nutter, Madhusudhanan Srinivasan +1Unified Multimodal ModelsMultimodal Instruction Tuning

  42. Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors

    Jun 15, 2026Vanshali Sharma, Andrea M. Bejar, Halil Ertugrul Aktas +4Medical Vision-Language ModelsLarge Language Model Adaptation

  43. SDS-LoRA: Overcoming Anisotropic Gradient Scaling in Low-Rank Adaptation

    Jun 15, 2026Junghun Oh, Sungyong Baik, Kyoung Mu LeeLow-Rank AdaptationLow-Rank Factorization

  44. SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data

    Jun 15, 2026Wenjie Wang, Yue Huang, Zhengqing Yuan +6Large Language Model AlignmentLarge Language Model Adaptation

  45. LiFT: Local Search via Linear Programming for Overfitting-Controlled Transformers

    Jun 15, 2026Abhishek Shukla, Anikeit Khanna, Ankur Sinha +1FinetuningTransformer Architectures

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

    Jun 15, 2026Xing-Yu Xu, Chen-Hsiu Huang, Ja-Ling WuLearned Image CompressionLow-Rank Adaptation

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

    Jun 14, 2026Muhammad Waseem, Nurbek Tastan, Andrej Jovanovic +4Low-Rank AdaptationLow-Rank Factorization

  48. The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages

    Jun 14, 2026Miso Choi, Seonga Choi, Mincheol Kwon +3TruthLarge Language Model Fine-Tuning

  49. MambAdapter: Lightweight Mamba-Based Adapters for Parameter-Efficient Transfer Learning in Speech and Audio

    Jun 14, 2026Salman Hussain Ali, Umberto Cappellazzo, Mirco RavanelliLow-Rank Adaptation AdaptersAudio Latent

  50. Transfer Learning for FHIR Questionnaire Terminology Binding

    Jun 13, 2026Maxim GorshkovMedical OntologyLarge Language Model Pipelines

  51. ChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing

    Jun 13, 2026Tingting Yang, Chenhao Xue, Jun ChenTransit Network DesignLarge Language Model Routing

  52. Sticky Routing: Training MoE Models for Memory-Efficient Inference

    Jun 12, 2026Ali KayyamMixture-Of-Expert Language ModelsMixture-of-Experts Models

  53. Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning

    Jun 12, 2026Dmitriy Bystrov, Daniil Medyakov, Dmitry Bylinkin +1Parameter-Efficient Fine-TuningLarge Language Model Fine-Tuning

  54. Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models

    Jun 12, 2026Chenyu Zhou, Qiliang Jiang, Boguang PanLow-Rank AdaptationVisual Grounding

  55. Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack

    Jun 12, 2026He Zhang, Lingzhu Xiang, Haitao Lin +23Scalable Robot LearningVision-Language-Action Models

  56. Applicability Condition Extraction for Therapeutic Drug-Disease Relations

    Jun 12, 2026Guanting Luo, Noriki Nishida, Yuji Matsumoto +1Biomedical TextDrug-Drug Interactions

  57. Prompt2Effect: Training-Free Image-to-Video Model Specialization via LoRA Generation

    Jun 11, 2026Xiaomeng Yang, Yanyu Li, Gordon Guocheng Qian +7Pre-Trained Video Diffusion ModelsLow-Rank Adaptation

  58. Compressing Image Style Training into a Single Model Forward

    Jun 11, 2026Zhongjie Duan, Yingda ChenPhotorealistic Style TransferGenerative Image Compression

  59. Beyond LoRA: Is Sparsity-Induced Adaptation Better?

    Jun 11, 2026Elijah Cadenhead, Cristian McGee, Xin Li +2Low-Rank Adaptation

  60. LoRA-Muon: Spectral Steepest Descent on the Low-Rank Manifold

    Jun 11, 2026Franz Louis Cesista, Katherine Crowson, Cédric Simal +1Low-Rank AdaptationLow-Rank Factorization