Low-Rank Adaptation

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  1. Mechanistic Interpretability-Guided Selective Fine-Tuning of Vision-Language Models for Centimeter-Level Flood Depth Estimation

    Aug 2, 2026Nafis Fuad, Xiaodong Qian, Dongxiao ZhuSen1Floods11Accurate Flood Prediction

  2. MineGrad: Gradient Inversion Attacks on LoRA Fine-Tuning

    Aug 2, 2026Hasin Us Sami, Swapneel Sen, Basak GulerHarmful Fine-TuningFederated Learning

  3. Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Continual Instruction Tuning

    Aug 2, 2026Huiyu Yi, Yongqi Xu, Bogang Zhang +5Multimodal Instruction TuningExpert Routing

  4. FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting

    Aug 2, 2026Amit Sharma, Nitin Auluck, Akramul AzimTime Series Foundation ModelsChronos

  5. EulerLoRA: Rank-Driven Jump Dynamics for Calibrated Parameter-Efficient Fine-Tuning

    Aug 2, 2026Srinivas Anumasa, Dianbo LiuLow-Rank AdaptationLow-Rank Adaptation Adapters

  6. Learning to Adapt Cross-Domain Preferences via Meta-LoRA for LLM Personalization

    Aug 1, 2026Xuefei Wang, Jun Han, Zixuan Wang +4PersonalizationLow-Rank Adaptation

  7. Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection

    Jul 31, 2026Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan +7Large Language Model AdaptationArabic Natural Language Processing

  8. The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs

    Jul 31, 2026Jiajia Tang, Sizhe Yuen, Francisco Gomez Medina +2Parameter-Efficient Fine-TuningSequential

  9. MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

    Jul 31, 2026Sebastian Doerrich, Daniel Würtinger, Francesco Di Salvo +2Mixture-of-Experts ModelsMedical Image Classification

  10. Small Is Enough: Per-User Style Rewriting of AI-Edited Text via LoRA Adapters

    Jul 31, 2026Antorweep ChakravortySmall Language ModelsLow-Rank Adaptation Adapters

  11. Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models

    Jul 31, 2026Zihao Guo, Jihua Zhu, Yiding Sun +2Spiking Neural NetworksBinary Spikes

  12. SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting

    Jul 31, 2026Yu Song, Hao Sun, Shiyu Teng +2Segment Anything Model3D Semantic Segmentation

  13. PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits

    Jul 31, 2026Namkyung Yoon, Sanghong Kim, Hwangnam KimLarge Language Model AdaptationParallel

  14. Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates

    Jul 31, 2026Weiyi He, Yuping Lin, Jiliang Tang +1Language Model Evasion AttacksAdversarial Transferability

  15. DeltaServe: Host-Agnostic Co-Serving of Inference and Fine-Tuning for LLMs

    Jul 30, 2026Jiaxuan Chen, Jianshu She, Ye Yuan +5Large Language Model ServingInference Latency

  16. Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations

    Jul 30, 2026Pere Martra, Eugenio Martínez Cámara, Alfonso Ureña LópezLarge Language Model BiasBias Mitigation

  17. HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks

    Jul 30, 2026Tiangang Li, Xiangbo TianReinforcement Learning Post-TrainingSupervised Fine-Tuning

  18. Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory

    Jul 30, 2026Hanzuo Liu, Xuan Qi, Chunyu Liu +6Efficient Long-Context InferenceLarge Language Model Memory

  19. Share the Judge, Learn the Deferral: Where Specialization Helps LLM Evaluation

    Jul 30, 2026Weining ZhangJudgesLarge Language Model Evaluation

  20. VESTIGE: A Knowledge-Guided Masking Strategy for Corruption-Aware Fine-Tuning of Genomic Transformers, Validated on Ancient DNA Reconstruction

    Jul 30, 2026Angshuman Chakravertty, Rahul MaheshwariCorrupted ObservationsTransformer Architectures

  21. Tight Sample Complexity for Low-Rank Adaptation: Matching Bounds and Rank Selection

    Jul 30, 2026Arunan JLow-Rank AdaptationEmpirical Risk Minimization

  22. Compliance2LoRA: Personalizable On-Demand Safety Alignment on Arbitrary Policy Subsets via Hypernetwork-Generated LoRA Adapters

    Jul 30, 2026Pankayaraj Pathmanathan, Furong HuangSafety AlignmentLow-Rank Adaptation Adapters

  23. Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA

    Jul 30, 2026Site Li, Jianyi Hao, Xiaofeng LiuMedical Visual Question AnsweringSupervised Fine-Tuning

  24. Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning?

    Jul 29, 2026Perry Dong, Ron Polonsky, Dorsa Sadigh +1Reinforcement Fine-TuningFinetuning

  25. Constitutional Midtraining: Content Presence Drives Alignment Gains

    Jul 29, 2026Desiree Cho, Cameron Tice, Bernie Hogan +4TrainabilityFinetuning

  26. FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA

    Jul 29, 2026Donghang Duan, Xu Zheng, Lizong Zhang +2HeterogeneityLow-Rank Adaptation

  27. A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents

    Jul 29, 2026Zhoupeng Shou, Xiaodong Hong, Congjing Ren +3Large Language Model Fine-TuningClosed-Loop Control

  28. Misalignment Has a Personality: A Big Five Account of Emergent Misalignment

    Jul 29, 2026Hasibur Rahman, Smit DesaiMisalignmentPersonality

  29. Between Gradient and Natural Gradient: A Continuum of LoRA Initializations

    Jul 28, 2026Dianze Liu, Farshid GhezelbashLow-Rank AdaptationFinetuning

  30. Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models

    Jul 28, 2026Anton de la Fuente, Arthur ConmySupervised Fine-TuningValue Alignment

  31. Spend Experts Where You Are Unsure: Confidence-Adaptive Routing for Mixture-of-Experts LoRA

    Jul 28, 2026Tom Saliencro, Rohan Desai, Priya Nair +2ExpertsLow-Rank Adaptation

  32. Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models

    Jul 28, 2026Antyabha Rahman, Akshaj Gurugubelli, Omar Ankit +2Large Reasoning ModelsSupervised Fine-Tuning

  33. Detecting CSAM Text-to-Image LoRAs From Weights

    Jul 28, 2026David Demitri Africa, Cate Heine, Nadine Staes-Polet +1Low-Rank AdaptationWeight

  34. MemSFT: Mitigating Alignment Tax with an External Parametric Memory

    Jul 28, 2026Jiarui Wang, Xiang Shi, Jiaqi Cao +8Large Language Model AdaptationDomain-Specific Language

  35. PILA: Plug-and-Play Insertion for LLM-native Advertising

    Jul 28, 2026Zhaowei Zhang, Yuhan Fu, Yihang Zhang +6AdsLarge Language Model Adaptation

  36. How Small Can You Go? A Controlled Study of LoRA Rank, Target Modules, and Quantization Trade-offs for Text-to-SQL on a 60M-Parameter Model

    Jul 28, 2026Mahendra Singh Rathor, Anagheem AzzamLarge Language Model QuantizationParameter-Efficient Fine-Tuning

  37. Noise-Free One-Step LoRA for Task-Driven Image Restoration with Diffusion Priors

    Jul 28, 2026Jaeha Kim, Kyoung Mu LeeImage RestorationDiffusion Priors

  38. Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning

    Jul 28, 2026Yuan Zhang, Jiang Hu, Zhijian Lai +2Low-Rank AdaptationRiemannian Optimization

  39. Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT

    Jul 27, 2026Cen Lu, Yung-Chen Tang, Andrea CavallaroLLM Post-Training MethodsSupervised Fine-Tuning

  40. Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning

    Jul 26, 2026Reza Rahimi Azghan, Gautham Krishna Gudur, Giulia Pedrielli +2Efficient Continual LearningLow-Rank Adaptation Adapters

  41. The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning

    Jul 26, 2026Peng XieLow-Rank AdaptationCatastrophic Forgetting

  42. ObsDriveBench: Benchmarking Multimodal Understanding under Adverse Weather with Observability Awareness

    Jul 26, 2026Qiao Yan, Yihan Wang, Zhenghao Xing +2Autonomous DrivingMultimodal Benchmarks

  43. Inference-Time Consensus for Mitigating Hidden Behaviors from LLM Fine-Tuning

    Jul 25, 2026Adhyyan Narang, Artin Tajdini, Claire Zhang +1Harmful Fine-TuningLarge Language Model Fine-Tuning

  44. Predict before you train: Scaling Laws for particle physics foundation models

    Jul 25, 2026Jan-Lucas Uslu, Benjamin Nachman, Christopher ReScaling LawsFinetuning

  45. LoRA for Gender-Inclusive Rewriting and Activation Steering for Counter-Narrative Generation

    Jul 25, 2026Akhil Rajeev P, Manoj Balaji JActivation SteeringGender

  46. Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias

    Jul 24, 2026Ofek I. Cohen, Lior Shani, Aviv Rosenberg +3Large Language Model AdaptationLogit Lens

  47. \k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating

    Jul 24, 2026Jianghui Wang, Silong Yong, Francesco Orabona +3Low-Rank AdaptationLow-Rank Factorization

  48. Universal BCI Personalization: One API for Frozen EEG Trunks and Foundation Models

    Jul 24, 2026Sergey MusienkoBrain-Computer InterfaceFinetuning

  49. Biomedical Machine Translation for Low-Resource Arabic-Script Languages via Cross-Lingual Transfer and LoRA Adapter Merging

    Jul 24, 2026Abdullah Alabdullah, Arash Eslamighayour, Sarp Harbalioglu +1Cross-Lingual TransferMachine Translation

  50. IFCLoRA: Topology-Aware Rank Allocation for Parameter-Efficient Fine-Tuning

    Jul 24, 2026Wei Zhang, Xinwu Liu, Yihang ChengGradient-Free Rank AllocatorLow-Rank Adaptation

  51. Benchmarking Fine-tuning and Retrieval Strategies for a Multimodal Language Model on the NRC Reactor Operator Licensing Examination

    Jul 24, 2026Isak Hwang, Yoon Pyo LeeNuclear FusionMulti-Modal Large Language Models

  52. Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents

    Jul 24, 2026Suman Navaratnarajah, Taehyoung Kim, Jona Ruthardt +5Embodied AgentsAgentic Benchmarks

  53. MoE2^2-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation

    Jul 24, 2026Qingyu Yang, Haonan He, Minglei Li +4Mixture-Of-Expert Language ModelsLow-Rank Adaptation

  54. On the Convergence of Stochastic Low-Rank Adaptation

    Jul 24, 2026Ru Wang, Chengchang Liu, John C. S. LuiLow-Rank AdaptationVariance Reduction

  55. DomainPilot: Domain-Level Loss-Guided Two-Stage Data Mixture Optimization for Efficient Language Model Fine-Tuning

    Jul 24, 2026He ZhangLarge Language Model Fine-TuningModel Pretraining

  56. Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA

    Jul 23, 2026Joan Figuerola HurtadoLow-Rank Adaptation AdaptersLow-Rank Adaptation

  57. Trustworthiness Costs of Domain Adaptation in Small Language Models:A Cross-Architecture Empirical Study

    Jul 23, 2026Ramesh B. ParamkushamLarge Language Model AdaptationSmall Language Models

  58. How Many Bits Can an Adapter Write? Measuring the Capacity and Memorization of Parameter-Efficient Fine-Tuning

    Jul 23, 2026Kaizhen Tan, Heqing Du, Yang FengLow-Rank Adaptation AdaptersParameter-Efficient Fine-Tuning

  59. Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA

    Jul 23, 2026Takato YasunoCausal ReasoningCausal Attention

  60. Nipping the Butterfly Effect in the Bud: Self-Output Fine-Tuning for Autoregressive Weather Prediction

    Jul 23, 2026Yun-Ye Cai, Hsuan-Tien LinArtificial Intelligence Weather ModelsLong-Horizon Forecasting