Low-Rank Adaptation

Ask about this field

Recent momentum

emerging

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

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

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

23 new papers

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

Period ending 2026-09-14

8 new papers

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

Period ending 2026-09-07

14 new papers

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

Inside this field

Focused directions

858 papers

Latest in Low-Rank Adaptation

Browse all topics →
CardsList

  1. Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

    Jul 23, 2026Hariharan Ramesh, Jyotikrishna DassLow-Rank AdaptationLow-Rank Adaptation Adapters

  2. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidParameter-Efficient Fine-TuningLow-Rank Adaptation

  3. The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability

    Jul 22, 2026Abigail Woodring, Adrian Chan, Rana Muhammad Shahroz Khan +3Large Language Model AdaptationLow-Rank Adaptation

  4. Statistical Inference for Rank Allocation in Low-Rank Adaptation

    Jul 22, 2026Yihang Gao, Vincent Y. F. TanGradient-Free Rank AllocatorLow-Rank Adaptation

  5. When Reasoning Narrows the Move: Diversity Collapse in LLM Game Play

    Jul 21, 2026Junyi Sha, Renfei Tan, David Simchi-LeviLarge Language Model Decision-MakingSupervised Fine-Tuning

  6. Selective State-Space Adaptation and Retrieval for Language Model Reasoning

    Jul 21, 2026Atahan Dokme, Larry HeckLow-Rank AdaptationLarge Language Model Reasoning

  7. Inference-Time Steering for Cross-Lingual Factual Consistency in LLMs

    Jul 21, 2026Alexander ManevCross-Lingual ConsistencyLarge Language Model Adaptation

  8. Point Ladder Tuning: Parameter-Efficient Hierarchical Adaptation for 3D Point Cloud Understanding

    Jul 21, 2026Junlin Chang, Longhao Zou, Rui LiParameter-Efficient Fine-TuningDense Prediction

  9. SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement

    Jul 21, 2026Arther Tian, Alex Ding, Simon Wu +1Supervised Fine-TuningDecision Thresholds

  10. Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA

    Jul 21, 2026Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4Large Language Model SafetyLarge Language Model Fine-Tuning

  11. Using Fine-Tuned LLMs to Identify Indicators of Vulnerability in UK Police Incident Logs

    Jul 20, 2026Sam Relins, Daniel BirksPolicingVulnerable Code

  12. PPL-Factory: Task-Aware and Budget-Aware Data Selection from Language Modeling to Reasoning

    Jul 20, 2026Hang Zhang, Warren J. GrossLarge Language Model Fine-TuningTraining Data

  13. Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning

    Jul 20, 2026Valentijn Oldenburg, Floris de Kam, Bente Zuijdam +4Parameter-Efficient Fine-TuningTransformer Residual Streams

  14. AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models

    Jul 20, 2026Eu Jin Lim, Zhaoxing Li, Sebastian SteinSmart HomesSmall Language Models

  15. What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification

    Jul 20, 2026Guosheng Li, Fenghui Ren, Bin Liu +5Large Language Model AdaptationDomain Shift

  16. AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning

    Jul 20, 2026Bas Meuwissen, Vasileios Tsouvalas, Nirvana MeratniaParameter-Efficient Fine-TuningModel Pretraining

  17. PoLoRA: A Preconditioned Orthogonalized LoRA Optimizer

    Jul 20, 2026Nikhil Ghosh, Tetiana Parshakova, Robert M. GowerLow-Rank AdaptationOptimizer Design

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

    Jul 20, 2026Siobhan Reid, Zhixiang Chi, Li Gu +3Domain AdaptationLow-Rank Adaptation

  19. Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators

    Jul 20, 2026Xuming Chen, Deniz Najafi, Mehrdad Morsali +5Self-Supervised Vision TransformersVision Transformer

  20. A Systematic Evaluation of Trajectory Data Curation for LoRA Fine-Tuning of Code Agents

    Jul 19, 2026Yunze HanCoding AgentsInteraction Trajectories

  21. Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models

    Jul 19, 2026Ganapati Das, Dwipen Laskar, Hasin Afzal Ahmed +4Automatic Speech Recognition SystemsSpeech Large Language Models

  22. ThRIve: Thermally Robust CNN Inference via Low-Rank Adaptation in Heterogeneous PIM Architectures

    Jul 19, 2026Vibhanshu Sharma, Pratyush Dhingra, Janardhan Rao Doppa +1Graph Neural Network InferenceSparse Deep Neural Network Accelerators

  23. Schema-Constrained Document-Level Event Argument Extraction with Lightweight LLM Fine-Tuning

    Jul 18, 2026Roberto Pietrantuono, Antonio Guerriero, Pouya SattariRelation ExtractionCoreference Resolution

  24. MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning

    Jul 18, 2026Sana Tonekaboni, Viktoria Schuster, Caroline UhlerInput ModalityLow-Rank Adaptation

  25. CT-Merging: Consensus Directions and Task-Level Scaling for LoRA Adapter Merging

    Jul 18, 2026Keumseo Ryum, Joonhyuk KangContinual Model MergingModel Merging

  26. Diversity-Oriented Fine-Tuning for Uncertainty-Based Hallucination Detection

    Jul 18, 2026Qiuyuan Li, Hongliang Dai, Piji LiHallucination DetectionHallucinations

  27. TopoTuner: Topological Finetuning of Large Language Models

    Jul 18, 2026Abdulkadir Erol, Yash Mahajan, Vepaul Hariprashad +4FinetuningTuning

  28. TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos

    Jul 18, 2026Abdel-Karim Al-Tamimi, Ali RodanLarge Language Model JudgesAccurate Transcription

  29. Long-Context Fine-Tuning with Limited VRAM

    Jul 16, 2026Vladimir Fedosov, Aleksandr Sazhin, Artemiy Grinenko +1Efficient Long-Context InferenceParameter-Efficient Fine-Tuning

  30. Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs

    Jul 16, 2026Robert Graham, Edward Stevinson, Yariv BarsheshatLarge Language Model Fine-TuningIdeology

  31. Investigating first-language bias in LLM-based automated essay scoring: A cross-prompt evaluation of an open-weight AI-model on TOEFL essays

    Jul 16, 2026John Maurice GayedAutomated Essay ScoringLarge Language Model Bias

  32. MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation

    Jul 16, 2026Yinhan Zhang, Dinwei Tan, Xianghao Kong +3Pre-Trained Video Diffusion ModelsPrompt Tuning

  33. Advanced Image Generation: Negative Prompt Optimization and Latent Classifier Guidance

    Jul 16, 2026Vaddi Charan Sai Nandan Reddy, Harini B, Chandana M SImage GenerationLarge Language Model Fine-Tuning

  34. Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion

    Jul 15, 2026Fengzhuo Zhang, Zhuoran Yang, Dirk BergemannPersonalizationFinetuning

  35. Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

    Jul 15, 2026Haobo Zhang, Jiankun Wang, Suraj Rajendran +5Federated LearningLow-Rank Adaptation

  36. DeltaMerge-LowRes: Composing Language and Task Deltas for Low-Resource Adaptation

    Jul 15, 2026Son Ha Xuan, Xuan-Bach Le, Phat T. Tran-TruongLarge Language Model AdaptationEnglish

  37. Rethinking Speech Foundation Model Fine-tuning: Better SFT or Better Match?

    Jul 15, 2026Wangjin Zhou, Yizhou Zhang, Yichi Wang +1Discrete Speech RepresentationsSpeech Large Language Models

  38. Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape Pre-, Intra-, and Post-CoT Calibration

    Jul 15, 2026Shuhao Li, Guodong Du, Anhao Zhao +3Confidence CalibrationLLM Post-Training Methods

  39. Efficient Text-to-Audio Generation via Pruning

    Jul 14, 2026Arshdeep Singh, Yi Yuan, Yun Chen +2PruningFinetuning

  40. PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

    Jul 13, 2026Jing Liu, Kun Yang, Yan Wang +5Heterogeneous Edge DevicesLow-Rank Adaptation

  41. RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM

    Jul 13, 2026Mikhail Komarov, Ivan Bondarenko, Stanislav Shtuka +5Graph-Based Retrieval Augmented GenerationKnowledge Graphs

  42. HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models

    Jul 13, 2026Aznaur Aliev, Carlos Hinojosa, Abdelrahman Eldesokey +3Large Language Model SafetyLarge Language Model Fine-Tuning

  43. Learning to Fine-tune Foundation Models under Resource Limitations

    Jul 12, 2026Thomas Tsouparopoulos, Iordanis KoutsopoulosContinual Fine-TuningWireless Foundation Models

  44. Polarization Detection: A Hybrid Approach with AfroXLMR-Social and DeBERTa for Low- and High-Resource Settings

    Jul 11, 2026Muhammad Abdullahi SaidPolarizationMultilingual Language Models

  45. CARE-LoRA: Compressed Activation REconstruction for Memory-Efficient LoRA

    Jul 11, 2026Gengyu Zhang, Haiyin Ran, Zhengbao He +4Low-Rank AdaptationLarge Language Model Compression

  46. On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation

    Jul 11, 2026Finn Ferchau, Daniel Pommer, Cristian AxeniePretrained Vision-Language-ActionFlow-Matching Vision-Language-Action

  47. 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

  48. Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning

    Jul 10, 2026Ivan Ilin, Philip Zmushko, Peter RichtárikParameter-Efficient Fine-TuningTuning

  49. Blockchain-Linked Auditable Decision Management for Telecom/IoT Fraud-Control Requests

    Jul 10, 2026Saviz Changizi, Nasibeh Mohammadzadeh, Mohammad Shojafar +1Fraud DetectionBlockchain

  50. Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning

    Jul 9, 2026Lu Dai, Ziyang Rao, Yili Wang +3MemorizationKnowledge Gaps

  51. Write-Protected Discrete Bottlenecks for Language-Grounded World Models: A Structural Limitation and Sufficient Fix

    Jul 9, 2026Jiayi FangLatent World ModelsLarge Language Model Fine-Tuning

  52. Stage-Aware Adaptation and Distribution Calibration for Subject-Driven Personalized Text-to-Image Generation

    Jul 8, 2026Wenyan Xu, Alizer WongText-To-ImageVideo-Text Alignment

  53. LoCA: Spatially-Aware Low-Rank Convolutional Adaptation of Vision Foundation Models

    Jul 8, 2026Sojung An, Junha Lee, Sujeong You +2Low-Rank AdaptationVision Foundation Models

  54. Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1

    Jul 7, 2026Kabir Moghe, Peter ChinAgentic ReasoningTest Time

  55. Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation

    Jul 7, 2026Anna Córdoba, Adam Puente Tercero, Nerea Angulo Hijo +4LongvideobenchVisual In-Context Learning

  56. Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries

    Jul 7, 2026Raafat Abualazm, Ayman AboElhassan, Amr G. WassalDisassemblyFinetuning

  57. RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations

    Jul 7, 2026Woo Jae Kim, Kyle Min, Suhyeon Ha +2Adversarial TransferabilityMixture-of-Experts Models

  58. Integrating knowledge graphs and multilingual scholarly corpora for domain-adaptive LLMs in SSH

    Jul 7, 2026Adam Faci, Alessio Miaschi, Anne Combe +4Large Language Model AdaptationDomain-Adaptation Benchmark

  59. LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation

    Jul 6, 2026Kabir Dev Paul Baghel, Radu Timofte, Dmitry IgnatovLarge Language Model AdaptationGenerative Adversarial Network

  60. Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring

    Jul 6, 2026Aditi Naiknaware, Jian Sun, Aminreza Khandan +4Multimodal Wound AnalysisMultimodal Clinical Data