Low-Rank Adaptation

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Period ending 2026-09-21

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  1. HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface

    Sep 17, 2026Zimu Han, Yiming Zeng, Jiyao Zhang +9Vision-Language-Action ModelsHuman-In-The-Loop

  2. Reading Emotions in the Token Space: Discriminative Adaptation of SpeechLLMs for Emotion Recognition

    Sep 17, 2026Hasindri Watawana, Sergio Burdisso, Esaú Villatoro-Tello +4Emotion RecognitionSpeech Large Language Models

  3. DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models

    Sep 17, 2026Shihong Li, Juntao Xu, JinCao +3Pre-Trained Video Diffusion ModelsLow-Rank Adaptation

  4. Form Over Content In Gradient-Based Data Attribution Methods

    Sep 17, 2026Sunwoo Kim, Seokwon Jung, Sohyung Kim +2Training Data AttributionSupervised Fine-Tuning

  5. CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents

    Sep 16, 2026Jiaxuan Jiang, Liyuan He, Zhixuan FangMulti-Agent Reinforcement LearningAdaptive Routing

  6. Generative Query Suggestion via Intent Coverage and Query-Level Credit Assignment

    Sep 16, 2026Xinpeng Liu, Lu Ma, Jiayi Qiao +6Complex Query AnsweringAnalytics

  7. The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction

    Sep 16, 2026Yu Lin, Yiming Wang, Runyuan Cai +2Mixture-Of-Expert InferenceMixture-of-Experts Models

  8. The Unbearable Weight: Scaling Models and Methods for UAV Audio Classification

    Sep 15, 2026Andrew P. Berg, Qian Zhang, Mia Y. WangUnmanned Aerial VehiclesReal-Time Inference

  9. SFT or RL for Tool-Calling Agents? A Controlled Study Across Data, Method, and Scale

    Sep 15, 2026Md Tahmid Rahman Laskar, Xue-Yong Fu, Shashi Bhushan TNSupervised Fine-TuningAgentic Tool Use

  10. Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation

    Sep 15, 2026Ting-Wei Chang, Hen-Hsen Huang, Hsin-Hsi ChenLarge Language Model AdaptationLarge Language

  11. Shared-Prefix KV Reuse Across Standard LoRA Adapters: Quality and Serving Tradeoffs

    Sep 15, 2026Dushyant RajputKey-Value CacheLow-Rank Adaptation Adapters

  12. CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework

    Sep 15, 2026Yunxiang Fu, Meng Lou, Zicheng Liao +1Efficient Continual LearningDomain Incremental Learning

  13. TAME: Token Attribution and Masking for Emergent misalignment

    Sep 15, 2026Md Rayhanul Masud, Md Rizwan ParvezMisalignmentLarge Language Model Alignment

  14. ReMova: Fine-tuning LLMs for English to Belarusian translation

    Sep 14, 2026Mikita Pilinka, Aliaksandr Kliujeŭ, David Samuel +1Neural Machine Translation ModelsLarge Language Model Fine-Tuning

  15. Drift Field Net: Learning Ocean Lagrangian advection fields from in-situ and satellite observations

    Sep 14, 2026Théo Archambault, Pierre Garcia, Mattia Romero +2OceanAdvection-Reaction-Diffusion

  16. Sequential Adapter Stacking for Cross-Lingual Low-Resource ASR

    Sep 14, 2026Thai Thi Thanh Thao Dang, Mengjie Qian, Kate KnillMultilingual Automatic Speech RecognitionLow-Resource Languages

  17. Pre-PEFT Probing: Weight Statistics and Perturbation Robustness for Layer Selection in VLM Vision Encoders

    Sep 14, 2026Qingtao Xia, Jiahua Bao, Siyao Cheng +1Parameter-Efficient Fine-TuningFinetuning

  18. Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor Attacks

    Sep 14, 2026Aashiq Muhamed, Mona T. Diab, Virginia Smith +2PoisoningBackdoor Attacks

  19. SALUTE: Benchmarking and Adapting LLMs for the Defense Domain

    Sep 14, 2026Hyeongcheol Park, Sumin In, Suyeon Myeong +5Large Language Model AdaptationKnowledge-Intensive Domains

  20. Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents

    Sep 14, 2026Pengyang Zhou, Xiaobin Tu, Zhengxi Liu +7Low-Rank AdaptationLow-Rank Adaptation Adapters

  21. Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning

    Sep 14, 2026Hyunjin Kim, Youngeun Nam, Jaemin Han +2Multimodal Instruction TuningFinetuning

  22. Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature

    Sep 14, 2026Zihan Zhu, Zhehang Du, Xuyang Chen +5Low-Rank AdaptationLow-Rank Factorization

  23. Online Language Adaptive Sampling for Better Distributed Cross-lingual Gains

    Sep 14, 2026Quang Phuoc Nguyen, Félix Gaschi, David Anugraha +2Cross-Lingual TransferLarge Language Model Adaptation

  24. HALDETECT at ImageEval 2026 Shared Tasks: Answer-First Contrastive Grounding with QLoRA

    Sep 12, 2026Syed Mohaiminul Hoque, Md Sakhawat HossainHallucination DetectionVision Encoders

  25. Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning

    Sep 12, 2026Iman Khazrak, Narges Nejad, Mostafa M. Rezaee +1Low-Rank AdaptationDenoising Diffusion Probabilistic Model

  26. Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning

    Sep 12, 2026Bincheng Gu, Min Gao, Zongwei Wang +3Stable Test-Time AdaptationLarge Language Model Reasoning

  27. Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models

    Sep 12, 2026Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5Knowledge-Based Visual Question Answering BenchmarksLow-Rank Adaptation

  28. An Efficient and Modular Framework for Targeted Harm Mitigation in LLMS

    Sep 12, 2026Roberto Campbell, Momin Abbass, Muneeza Azmat +5Large Language Model AlignmentLarge Language Model Safety

  29. Overpainting: Localized Context-aware Diffusion Image Editing

    Sep 11, 2026Sam Sartor, Iliyan Georgiev, Michael Fischer +2Diffusion EditingLow-Rank Adaptation

  30. R4Tun: LLM-guided adaptive segmental tunnel lining segmentation in point clouds

    Sep 11, 2026Xinghui Tao, Zehao Ye, Guangming Wang +2Segmentation ModelLarge Language Model Adaptation

  31. Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation

    Sep 9, 2026Nada Esmaeil, Fathima Rena, Sibi Subhash +4Arabic Natural Language ProcessingDialects

  32. Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable Learning

    Sep 9, 2026Zhirayr Hayrapetyan, Andrei Kalmykov, Denis Kokosinskii +2Finance DomainSupervised Fine-Tuning

  33. Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

    Sep 9, 2026Heng Jin, Chaoyu Zhang, Hexuan Yu +2Federated LearningLarge Language Model Fine-Tuning

  34. Which Tokens Should SFT Actually Learn? A Token-Trimming Perspective on Mathematical Reasoning

    Sep 9, 2026Yaning Jia, Chunhui Zhang, Wenxuan Xu +3Supervised Fine-TuningMathematical Reasoning

  35. Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent

    Sep 8, 2026Quang-Duy Tran, Trung Le, Bao Duong +2ManifoldsParameter-Efficient Fine-Tuning

  36. When Financial Fine-tuning Fails: A Three-Level Detectability Analysis of Numerical Hallucination in Domain-Adapted Language Models

    Sep 7, 2026Xiaodong Li, Peiwei LiuLarge Language Model AdaptationHallucinations

  37. PLUME: Parameter-Efficient Personalization of Large Language Models via Low-Rank User Modulation in Shared Subspaces

    Sep 7, 2026Xinyu Li, Hao Zhou, Jianfeng Zhu +4PersonalizationLow-Rank Adaptation

  38. Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM

    Sep 7, 2026Xinyu Li, Ruoming Jin, Jianfeng Zhu +2PersonalizationLarge Language Model Fine-Tuning

  39. Representational alignment yields generalizable safety in language models

    Sep 3, 2026Lingyu Li, Yan Teng, Yingchun Wang +1Large Language Model SafetyAdversarial Evaluation

  40. Beyond Endpoint Scores: Time- and Capacity-Conditioned Evaluation of Continual Knowledge Updating

    Sep 3, 2026Heejin ChoiUpdatesTask-Aware Evaluation Framework

  41. SafeRI: Recognition and Intervention for Token-Level Safety Intervention in Large Vision Language Models

    Sep 3, 2026Caoyuan Ma, Tian Gu, Wenpu Liu +11Safety AlignmentLarge Vision Language Models

  42. Routing Is Not Enough: Diagnosing Intra-Adapter Subspace Contention in MoE+LoRA Fine-Tuning

    Sep 2, 2026Mehreen Hossain Chowdhury, Nowshin Mahjabin, Ahmed Shafin Ruhan +3Low-Rank AdaptationMulti-Domain

  43. Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs

    Sep 1, 2026Jingtan Wang, Arun Verma, Xiaoqiang Lin +4Supervised Fine-Tuning

  44. When Safety Routing Breaks: Understanding Alignment Fragility under Benign Fine-Tuning

    Sep 1, 2026Yitong Guo, Xiaoyi Chen, Siyuan Zhang +2FragilityFinetuning

  45. Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept Erasure

    Sep 1, 2026Qinghui Gong, Xunlei Chen, Yu-Xuan Zhang +2Concept ErasureText-To-Image Diffusion Models

  46. Behaviorally Effective LoRA Writes Are Sparse and Structured

    Sep 1, 2026Haruto Sato, Yuki Tanaka, Ren Nakamura +2Low-Rank AdaptationContinuation

  47. Post-Training Science for Supervised Fine-Tuning

    Sep 1, 2026Charles O'Neill, Mudith Jayasekara, Harry PartridgeSupervised Fine-TuningLLM Post-Training Methods

  48. Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO

    Sep 1, 2026Prakhar Gupta, Vaibhav GuptaLLM Post-Training MethodsSupervised Fine-Tuning

  49. When Features Become Instances: Inverted Contrastive Learning for Unsupervised Feature Selection

    Sep 1, 2026Utsab Ghosh, Roshni ChakrabortyFeature SelectionUnsupervised

  50. Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation

    Sep 1, 2026Wentao Ye, Zhanming Shen, Zhiqing Xiao +3Low-Rank AdaptationParameter-Efficient Fine-Tuning

  51. Online Self-Weighted Fine-Tuning

    Sep 1, 2026Haiquan Wen, Yiwei He, Bei Peng +1FinetuningAutoregressive Rollout

  52. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Low-Rank AdaptationFederated Learning

  53. Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness

    Aug 31, 2026Anh T. Nguyen, Zihua Sun, Michelle J. JohnsonMotor ImageryElectroencephalography Foundation Models

  54. Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization

    Aug 31, 2026Shiyun Wa, Yifei Wang, Anna G. Green +2Molecular OptimizationSupervised Fine-Tuning

  55. Normalized Low-Rank Adaptation

    Aug 31, 2026Jiale Kang, Ziyin Yue, Zheng Zhan +2Low-Rank AdaptationParameter-Efficient Adaptation

  56. Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning

    Aug 31, 2026Arthur Becker, Jakob Kemmler, David Thulke +3Supervised Fine-TuningLarge Language Model Alignment

  57. Low-Resource Preference Adaptation of LLMs via Activation-Based Label Propagation

    Aug 31, 2026Alessio Galatolo, Meriem BeloucifPairwise PreferencesLarge Language Model Adaptation

  58. ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography

    Aug 31, 2026Mohammadsina Hassannia, Matthew A. Reyna, Reza SameniPediatric-Adult Electrocardiogram AlignmentElectronic Health Record Foundation Models

  59. Textual Acoustic Grounding for Generalizable LLM-Based Deepfake Voice Detection

    Aug 31, 2026Yassine El Kheir, Xin Wang, Wanqing Ge +3Audio Deepfake DetectionAudio Encoders

  60. Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text

    Aug 31, 2026Minkyung Cho, Jihyo Kim, SeungWoo Song +4Synthetic DataLarge Language Model Fine-Tuning