Low-Rank Adaptation

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  1. DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data

    Jun 2, 2026Yunsheng Yuan, Shaowei Li, Kai Wang +5Parameter-Efficient Fine-TuningLarge Language Model Fine-Tuning

  2. BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks

    Jun 1, 2026Ivan Sabolić, Marin Oršić, Josip Šarić +1Large Vision Language ModelsBackdoor Attacks

  3. GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning

    Jun 1, 2026Liyan Tan, Yequan Zhao, Yifan Yang +3Zeroth-Order OptimizationLarge Language Model Fine-Tuning

  4. On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

    Jun 1, 2026Mind Lab, :, Vin Bo +64Parameter-Efficient Fine-TuningBillion-Parameter Models

  5. Cross-Environment Neural Reranking for Sample-Efficient Action Selection in Text-Based Agents

    Jun 1, 2026Kan ShaoLarge Language Model AdaptationAction Selection

  6. FACT: A Simple and Efficient Framework for Active Finetuning

    Jun 1, 2026Wenshuai Xu, You Song, Yuzhuo Cui +3Parameter-Efficient Fine-TuningFinetuning

  7. Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA Banks

    Jun 1, 2026Weibai Fang, Haijun Che, Feiyang Ren +1Zero-Shot Anomaly DetectionLow-Rank Adaptation

  8. Low-Rank Adaptation of Frozen Vision-Language Models for Blind Image Quality Assessment

    Jun 1, 2026Bishr Omer Adam, Xu LiImage Quality AssessmentFrozen Vision-Language Models

  9. Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning

    Jun 1, 2026Wenhang Shi, Yiren Chen, Shuqing Bian +5FinetuningCatastrophic Forgetting

  10. Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks

    Jun 1, 2026Nermeen Abou Baker, David Rohrschneider, Uwe HandmannParameter-Efficient Fine-TuningLow-Rank Adaptation

  11. Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization

    Jun 1, 2026Yumiao Zhao, Bo Jiang, Beibei Wang +3Visual In-Context LearningLow-Rank Adaptation

  12. LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models

    Jun 1, 2026Prateek Kumar SikdarLarge Language Model BackbonesTransformer Layers

  13. Fair Finetuning Mitigates Distribution Inference Attacks

    Jun 1, 2026Rakshit NaiduFairness-Aware LearningFairness Audits

  14. Anchor-Conditioned Compositional Control for Landscape Image Generation

    Jun 1, 2026Gadha Lekshmi P, Govind Arun, Rohith Syam +1Large-Scale Image GenerationGenerative Models

  15. Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning

    Jun 1, 2026Xinrui Chen, Jianhao Zhang, Ou Wu +1Large Language Model SafetyLarge Language Model Fine-Tuning

  16. CRePE: Convolution-aware Relative Importance in Post-training Pruning with Efficient Search

    Jun 1, 2026Cheonjun ParkHeterogeneous Pruning ScoresLarge Language Model Post-Training

  17. GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation

    May 31, 2026Shihao Zhang, Rayan SaabWeight-Only QuantizationQuantization

  18. ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks

    May 31, 2026Dhruv Saini, Rohan PandeyChain-Of-Thought DistillationInference-Time

  19. Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning

    May 31, 2026Huy Nghiem, Sy-Tuyen Ho, Sarah Wiegreffe +1Harmful Fine-TuningMisalignment

  20. PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA

    May 31, 2026Shihao Wang, Xueru ZhangDifferential PrivacyLow-Rank Adaptation

  21. Subliminal Learning is a LoRA Artifact

    May 30, 2026Todd Nief, Harvey Yiyun Fu, Mark Muchane +1Low-Rank Adaptation

  22. Logit Distillation on Manifolds: Mapping by Learning

    May 30, 2026Yiru Yang, Junling Wang, Nishant Kumar Singh +2Model TrainingProgressive Distillation

  23. From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users

    May 30, 2026Wuqiang Zheng, Chengbing Wang, Yilin Yang +6EmpathyLarge Language Model Adaptation

  24. ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression

    May 30, 2026Wenya Yu, Chao Zhang, Li Wang +2Large Language Model QuantizationLarge Language Model Compression

  25. On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

    May 30, 2026Etienne Casanova, Rafal Kocielnik, R. Michael AlvarezLarge Language Model AdaptationMemorization

  26. Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters

    May 29, 2026Xinjue Wang, Xiuheng Wang, Yejun Zhang +3Low-Rank Adaptation AdaptersLow-Rank Adaptation

  27. CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs

    May 29, 2026Kiran Nayudu, Aswini Nutakki, Sai Vinay Naidu +1Parameter-Efficient Fine-TuningResidual Adaptation

  28. From "Weak" Signals to Strong Models: Preference Delta Aggregation with LoRA Merging

    May 29, 2026Qi Sun, Siyue Zhang, Yulin Chen +3Large LanguageLow-Rank Adaptation

  29. Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence

    May 29, 2026Valérie Castin, Kimia Nadjahi, Pierre Ablin +1Low-Rank AdaptationFinetuning

  30. LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training

    May 29, 2026Argyrios Gerogiannis, Yekaterina Yegorova, Mark Hasegawa-Johnson +1Speech Large Language ModelsSpeech-Llms

  31. DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization

    May 29, 2026Jian Mu, Tianyi Lin, Chengwei Qin +2Reinforcement Fine-TuningSupervised Fine-Tuning

  32. Reinforcement Learning Can Amplify Emergent Misalignment from Harmless Rewards

    May 29, 2026Magnus Jørgenvåg, David Kaczér, Lasse Ruttert +3Training-Free Reward AlignmentMisalignment

  33. Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning

    May 29, 2026Polina Dolgova, Sebastian U. StichMachine UnlearningForgetting

  34. Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams

    May 29, 2026Jonathan Swinnen, Tinne TuytelaarsDomain Incremental LearningDomain Adaptation

  35. A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models

    May 29, 2026Iosif Tsangko, Andreas Triantafyllopoulos, George Margetis +2Large Vision Language ModelsBlind Spots

  36. DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning

    May 29, 2026Junbo Zhang, Qianli Zhou, Xinyang Deng +3Large Language Model SafetyLarge Language Model Fine-Tuning

  37. TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning

    May 29, 2026Xiaosong Han, Ke Chen, Xindi Dai +7Unseen-Task AdaptationContinual Fine-Tuning

  38. MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning

    May 29, 2026Yi Bai, Wenhao Zhang, Yao Chen +3Instruction TuningLarge Language Model Fine-Tuning

  39. Fine-Tuning Improves Information Conveyance in Language Models

    May 29, 2026Yuwei Cheng, Weiyi Tian, Haifeng XuLarge Language Model Fine-TuningLarge Language Model Uncertainty

  40. RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting

    May 29, 2026Yuduo Li, Xiaofeng Shi, Qian Kou +2Supervised Fine-TuningRefinement

  41. CSULoRA: Closest Safe Update Low-Rank Adaptation

    May 28, 2026Oleksandr Marchenko Breneur, Adelaide Danilov, Aria Nourbakhsh +1Low-Rank AdaptationHarmful Fine-Tuning

  42. Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization

    May 28, 2026Dongjun Kim, Adrian de Wynter, Huancheng Chen +2Low-Rank AdaptationParameter-Efficient Adaptation

  43. Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)

    May 28, 2026João Filipe, Álvaro Torralba, Gregor BehnkeSatisfiabilityClassical Planning

  44. The Long-Term Effects of Data Selection in LLM Fine-Tuning

    May 28, 2026Yuxin Yang, Aoxiong Zeng, Xiangquan YangLarge Language Model Fine-TuningLarge Language

  45. Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical Cosmology

    May 28, 2026Francesco De BernardisLarge Language Model AdaptationDomain Adaptation

  46. Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching

    May 28, 2026Alaa Khamis, Alaa MaaloufFinetuningTest Time

  47. How LoRA Remembers? A Parametric Memory Law for LLM Finetuning

    May 28, 2026Ziwen Xu, Haiwen Hong, Linsong Yu +4Large Language Model MemoryLarge Language Model Fine-Tuning

  48. IP-Adapter Is All You Need: Towards Fine-Tuning-Free Diffusion-Based Talking Face Generation

    May 28, 2026Hao Wu, Xiangyang Luo, Hao Wang +3Object ArticulationFew-Step Generation

  49. Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection

    May 28, 2026Travis LelleBackdoor AttacksLanguage Model Evasion Attacks

  50. iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis

    May 28, 2026Yang Song, Yixuan Zhang, Lingfa Meng +5Low-Rank AdaptationBacterial Colony Counting

  51. Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies

    May 28, 2026Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey +2Large Language Model Fine-TuningCatastrophic Forgetting

  52. SLAD : Shared LoRA Adapters for Task Specific Distillation

    May 28, 2026Reda Bensaid, Yassir Bendou, Vincent Gripon +1Low-Rank Adaptation AdaptersLow-Rank Adaptation

  53. NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs

    May 28, 2026Shuaidi Wang, Zhan Zhuang, Ruping Huang +1Diffusion Language ModelsParameter-Efficient Fine-Tuning

  54. Leveraging Routing Dynamics in Mixture-of-Experts Models for Efficient Language Adaptation

    May 28, 2026Aditi Khandelwal, Marius Mosbach, Verna Dankers +2Multilingual Language ModelsMixture-of-Experts Models

  55. VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models

    May 28, 2026Shengyu Si, Yuanzhuo Lu, Ruimeng Yang +3Vision-Language-Action ModelsGeneralizable Robotic Manipulations

  56. Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting

    May 28, 2026Runze Xu, Arpit Garg, Hemanth Saratchandran +1Low-Rank AdaptationKullback-Leibler Regularization

  57. On-Policy Replay for Continual Supervised Fine-Tuning

    May 28, 2026Yan Chen, Taojie Zhu, Meng Zhang +4Supervised Fine-TuningCatastrophic Forgetting

  58. FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation

    May 28, 2026Zehao Wang, Guanglei Yang, Yihan Zeng +4Low-Rank AdaptationFederated Learning

  59. Architecture-Sensitive Supervised Fine-Tuning for Screen-Conditioned Action Prediction: A PiSAR Benchmark

    May 28, 2026Rahul Bissa, Abhishek Vyas, Yash JainSupervised Fine-TuningFine-Grained Actions

  60. FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning

    May 28, 2026Juneyoung Park, Seongbae Lee, Han-Sang Lee +6Parameter-Efficient Fine-TuningLow-Rank Adaptation