Low-Rank Adaptation

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  1. Crowded in B-Space: Calibrating Shared Directions for LoRA Merging

    Apr 18, 2026Yixuan Tang, Yi YangLow-Rank AdaptationMulti--Task Learning

  2. Introspection Adapters: Training LLMs to Report Their Learned Behaviors

    Apr 18, 2026Keshav Shenoy, Li Yang, Abhay Sheshadri +4Language Model Evasion AttacksIntrospection Adapters

  3. Benign Fine-Tuning Breaks Safety Alignment in Audio LLMs

    Apr 17, 2026Jaechul Roh, Amir HoumansadrLarge Audio Language ModelsAudio Flow

  4. Cross-Modal Bayesian Low-Rank Adaptation for Uncertainty-Aware Multimodal Learning

    Apr 17, 2026Habibeh Naderi, Behrouz Haji Soleimani, Stan MatwinParameter-Efficient Fine-TuningMultimodal Learning

  5. Beyond Feature Fusion: Contextual Bayesian PEFT for Multimodal Uncertainty Estimation

    Apr 17, 2026Habibeh Naderi, Behrouz Haji Soleimani, Stan MatwinParameter-Efficient Fine-TuningMultimodal Classification

  6. JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models

    Apr 17, 2026Alexandra Dragomir, Ioana Pintilie, Antonio Barbalau +6Low-Rank Adaptation AdaptersLow-Rank Adaptation

  7. POLAR: Online Learning for LoRA Adapter Caching and Routing in Edge LLM Serving

    Apr 17, 2026Shaoang Li, Jian LiLarge Language Model RoutingLow-Rank Adaptation Adapters

  8. DINOv3 Beats Specialized Detectors: A Simple Foundation Model Baseline for Image Forensics

    Apr 17, 2026Jieming Yu, Qiuxiao Feng, Zhuohan Wang +1Dinov3Detection Framework

  9. PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis

    Apr 17, 2026Lucas Tamic, Ilan Jaffeux-Cheniout, Xavier MarjouLarge Language Model Fine-TuningSmall Language Models

  10. LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

    Apr 16, 2026Jack Wei Lun Shi, Minghao Dang, Wawan Solihin +1Large Language Model PerformanceCode Quality

  11. Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation

    Apr 16, 2026Yisheng Zhong, Sijia Liu, Zhuangdi ZhuLarge Language Model UnlearningUnlearning Aims

  12. Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates

    Apr 6, 2026Zhenhang Shang, Yingzhe Yu, Kani ChenFinetuningZero-Knowledge Proofs

  13. Where Does Robustness Live? Neuron-Guided Adaptation for Retrieval-Augmented Language Models

    Apr 2, 2026Jae O Lee, Jaemin Kim, Sumyeong Ahn +1Large Language Model AdaptationInstruction Tuning

  14. CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks

    Apr 1, 2026Wish Suharitdamrong, Tony Alex, Muhammad Awais +1Vision-Language Model AdaptationLow-Rank Adaptation

  15. ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing

    Mar 25, 2026Yaopei Zeng, Congchao Wang, Blake JianHang Chen +1Large Language Model RoutingMulti-Modal Large Language Models

  16. AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing

    Mar 24, 2026Sarubi Thillainathan, Ji-Ung Lee, Michael Sullivan +1Photorealistic Style TransferLarge Language Model Adaptation

  17. An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU

    Mar 17, 2026Ruijia Yang, Zeyi WenLarge Language Model Fine-TuningMulti-Gpu Systems

  18. ASDA: Automated Skill Distillation and Adaptation for Financial Reasoning

    Mar 17, 2026Tik Yu Yim, Wenting Tan, Sum Yee Chan +2Large Language Model AdaptationUnsupervised Skill Discovery

  19. Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating

    Mar 13, 2026Xiangkui Cao, Jie Zhang, Meina Kan +2Large Language Model SafetyLarge Vision Language Models

  20. AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models

    Mar 9, 2026Hankun Kang, Di Lin, Zhirong Liao +6Large Language Model SafetyCultural Knowledge

  21. Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion

    Mar 3, 2026Haoran Lu, Shang Wu, Songling Liu +94D GenerationVideo World Models

  22. Understanding LoRA as Knowledge Memory: An Empirical Analysis

    Mar 1, 2026Seungju Back, Dongwoo Lee, Naun Kang +4Large Language Model MemoryLow-Rank Adaptation

  23. CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference

    Feb 26, 2026Hung-Hsuan ChenLow-Rank AdaptationParameter-Efficient Fine-Tuning

  24. MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation

    Feb 24, 2026Sajjad Ghiasvand, Haniyeh Ehsani Oskouie, Mahnoosh Alizadeh +1Vision-Language Model AdaptationPrompt Tuning

  25. A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning

    Feb 23, 2026Nicolas Anguita, Francesco Locatello, Andrew M. Saxe +4FinetuningFeature Learning

  26. LORA-CRAFT: Cross-layer Rank Adaptation via Frozen Tucker Decomposition of Pre-trained Attention Weights

    Feb 19, 2026Kasun Dewage, Marianna Pensky, Shankadeep Mondal +1Parameter-Efficient Fine-Tuning

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

    Feb 17, 2026Hila Manor, Rinon Gal, Haggai Maron +2Visual RepresentationsLow-Rank Adaptation

  28. Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets

    Feb 16, 2026Yuchen Yang, Wenze Lin, Enhao Huang +6Large Language Model Fine-TuningToken-Level Uncertainty

  29. The Appeal and Reality of Recycling LoRAs with Adaptive Merging

    Feb 12, 2026Haokun Liu, Gyung Hyun Je, Marco Ciccone +3Low-Rank AdaptationModel Pretraining

  30. FAIL: Flow Matching Adversarial Imitation Learning for Image Generation

    Feb 12, 2026Yeyao Ma, Chen Li, Xiaosong Zhang +2Imitation LearningImage Generation

  31. Patch the Distribution Mismatch: RL Rewriting Agent for Stable Off-Policy SFT

    Feb 11, 2026Jiacheng Wang, Zhijie Liu, Ping Jian +4Supervised Fine-TuningRewrite

  32. SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass

    Feb 6, 2026Yewei Liu, Xiyuan Wang, Yansheng Mao +3Large Language Model AdaptationLow-Rank Adaptation Adapters

  33. QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning

    Feb 4, 2026Doyeon Lee, Eunyi Lyou, Hyunsoo Cho +3Reinforcement Fine-TuningLarge Language Model Fine-Tuning

  34. Least but not Last: Fine-tuning Intermediate Principal Components for Better Performance-Forgetting Trade-Offs

    Feb 3, 2026Alessio Quercia, Arya Bangun, Ira Assent +1Low-Rank AdaptationLearning Rates

  35. Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models

    Feb 2, 2026Hao Wang, Hao Gu, Hongming Piao +6Supervised Fine-TuningLarge Reasoning Models

  36. Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation

    Jan 31, 2026Hao Gu, Mao-Lin Luo, Zi-Hao Zhou +3Efficient Continual LearningLow-Rank Adaptation

  37. Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

    Jan 21, 2026Shovito Barua Soumma, Asiful Arefeen, Stephanie M. Carpenter +2Counterfactual ReasoningLarge Language Model Fine-Tuning

  38. Self-Improvement as Coherence Optimization: A Theoretical Account

    Jan 20, 2026Tianyi Qiu, Ahmed Hani Ismail, Zhonghao He +1Supervised Fine-TuningSelf-Training

  39. SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation

    Jan 15, 2026Seoyeon Kim, Jaehyung KimPersonalizationEfficient Continual Learning

  40. AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs

    Jan 9, 2026Chengming Cui, Tianxin Wei, Ziyi Chen +6Large Language Model AdaptationEnsemble

  41. DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models

    Jan 8, 2026Guanzhi Deng, Bo Li, Ronghao Chen +5Gradient-Free Rank AllocatorMixture-of-Experts Models

  42. RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning

    Dec 31, 2025Xiang Gao, Yuguang Yao, Qi Zhang +5Large Language Model AdaptationInjecting

  43. Shuttling Compiler for Trapped-Ion Quantum Computers Based on Fine-Tuned Large Language Models

    Dec 19, 2025Fabian Kreppel, Reza Salkhordeh, Ferdinand Schmidt-Kaler +1Quantum ComputingLarge Language Model Quantization

  44. Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective

    Dec 11, 2025Tian Liu, Anwesha Basu, James Caverlee +1Few-Shot LearningSemi-Supervised Learning

  45. Weight Space Representation Learning via Neural Field Adaptation

    Dec 1, 2025Zhuoqian Yang, Mathieu Salzmann, Sabine SüsstrunkWeight-SpaceNeural Fields

  46. Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation

    Nov 26, 2025Quan Xiao, Yutong Xuan, Gaowen Liu +2Large Language Model Fine-TuningData-Curation

  47. Mixtures of SubExperts for Large Language Continual Learning

    Nov 9, 2025Haeyong Kang, Hee Suk Yoon, Dahua Feng +1Mixture-Of-Expert Language ModelsEfficient Continual Learning

  48. FreeFuse: Multi-Subject LoRA Fusion via Adaptive Token-Level Routing at Test Time

    Oct 27, 2025Yaoli Liu, Yao-Xiang Ding, Kun ZhouText-To-ImageProgressive Attention Fusion

  49. K-Merge: Online Continual Merging of Adapters for On-device Large Language Models

    Oct 15, 2025Donald Shenaj, Ondrej Bohdal, Taha Ceritli +3Low-Rank Adaptation AdaptersLarge Language Model Serving

  50. Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique

    Oct 7, 2025Yanming Li, Cédric Eichler, Nicolas Anciaux +3Machine-Generated Text DetectionLarge Language Model Fine-Tuning

  51. Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting

    Oct 1, 2025Nouha Karaouli, Denis Coquenet, Elisa Fromont +2Time Series Foundation ModelsCatastrophic Forgetting

  52. Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

    Sep 29, 2025Xin Qiu, Yulu Gan, Conor F. Hayes +6Large Language Model Fine-TuningEvolutionary Search

  53. On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

    Sep 22, 2025Rongguang Ye, Ming Tang, Edith C. H. NgaiLarge Language Model QuantizationLow-Rank Adaptation Adapters

  54. Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts

    Aug 13, 2025Maxime Heuillet, Yufei Cui, Boxing Chen +2Reinforcement Fine-TuningLarge Language Model Fine-Tuning

  55. Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation

    Aug 7, 2025Kartar Kumar, Rajesh Kumar, Nikesh LagunReactionLarge Language Model Generation

  56. From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learning

    Aug 7, 2025Jinda Liu, Yi Chang, Yuan WuParameter-Efficient Fine-TuningMulti--Task Learning

  57. PLoRA: Efficient Concurrent LoRA Training for Large Language Models

    Aug 4, 2025Minghao Yan, Zhuang Wang, Zhen Jia +2Low-Rank AdaptationLow-Rank Adaptation Adapters

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

    Jul 5, 2025Jiahao Chen, Junhao Li, Yiming Wang +6Adversarial PromptingText-To-Image Diffusion Models

  59. Enhancing Self-Supervised Visual Representation Learning via Low-Rank Adapted LLMs

    Jul 1, 2025Selim Kuzucu, Muhammad Ferjad Naeem, Anna Kukleva +2Vision-Language Model AdaptationVision Transformer

  60. WaRA: Wavelet Low-Rank Adaptation for Medical Image Classification

    Jun 25, 2025Moein Heidari, Yijin Huang, Yasamin Medghalchi +3Medical Image ClassificationLow-Rank Adaptation