Low-Rank Adaptation

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  1. Low Rank Adaptation for Adversarial Perturbation

    Apr 30, 2026Han Liu, Shanghao Shi, Yevgeniy Vorobeychik +2Low-Rank AdaptationLow-Rank Factorization

  2. Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

    Apr 30, 2026Zi Li, Tian Zhou, Wenze Li +3Language Model Evasion AttacksLarge Language Model Fine-Tuning

  3. ChipLingo: A Systematic Training Framework for Large Language Models in EDA

    Apr 30, 2026Lei Li, Xingwen Yu, Jianguo Ni +4Electronic Design AutomationLarge Language Model Adaptation

  4. BoostLoRA: Growing Effective Rank by Boosting Adapters

    Apr 30, 2026Raviteja Anantha, Nick Levato, Layne C. PriceParameter-Efficient Fine-TuningRanking

  5. Distributional Alignment Games for Answer-Level Fine-Tuning

    Apr 29, 2026Mehryar Mohri, Jon Schneider, Yifan WuLarge Language Model AlignmentFinetuning

  6. Generalizing the Geometry of Model Merging Through Frechet Averages

    Apr 29, 2026Marvin F. da Silva, Mohammed Adnan, Felix Dangel +1Continual Model MergingModel Merging

  7. Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation

    Apr 29, 2026Weihang Su, Hanwen Zhang, Qingyao Ai +1Multi-Source Retrieval-Augmented GenerationLow-Rank Adaptation

  8. SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

    Apr 29, 2026Yimeng Shan, Zhaorui Zhang, Sheng Di +3Federated LearningLarge Language Model Fine-Tuning

  9. Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning

    Apr 29, 2026Weihang Li, Jianchun Liu, Hongli XuMixture-of-Experts ModelsParameter-Efficient Fine-Tuning

  10. How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum

    Apr 28, 2026Chu-Cheng Lin, Eugene IeSupervised Fine-TuningLarge Reasoning Models

  11. GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution

    Apr 28, 2026Fabio D'Oronzio, Federico Putamorsi, Leonardo Zini +2Low-Rank Adaptation

  12. Benchmarking PyCaret AutoML Against IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian IKN Twitter Data

    Apr 28, 2026Mutia Alfi Mayzaroh, Dwi Fitria Ningsih, Nindi Destriani +1Indonesian E-Commerce ReviewsSentiment Analysis

  13. From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models

    Apr 28, 2026Ling Shi, Xinwei Wu, Xiaohu Zhao +7Large Language Model Fine-TuningMechanistic Interpretability

  14. Compute Aligned Training: Optimizing for Test Time Inference

    Apr 27, 2026Adam Ousherovitch, Ambuj TewariTest-Time ScalingLarge Models

  15. BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models

    Apr 27, 2026Dario Coscia, Sindy Löwe, Max WellingLow-Rank AdaptationFinetuning

  16. A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations

    Apr 27, 2026Zihan Liu, Yizhen Wang, Rui Wang +2Large Language Model Fine-TuningPrivacy-Preserving Framework

  17. Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation

    Apr 27, 2026Huaicheng Li, Junhui Zhao, Haoyu Quan +1Federated LearningLow-Rank Adaptation

  18. Continual Calibration: Coverage Can Collapse Before Accuracy in Lifelong LLM Fine-Tuning

    Apr 27, 2026Ibne Farabi Shihab, Sanjeda Akter, Anuj SharmaMulticalibration and CalibrationContinual Learning Methods

  19. The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation

    Apr 26, 2026Shuaizhi Cheng, Xiang Shi, Zhiwei Zhang +1Knowledge ConflictsLarge Language Model Adaptation

  20. CRC-SAM: SAM-Based Multi-Modal Segmentation and Quantification of Colorectal Cancer in CT, Colonoscopy, and Histology Images

    Apr 25, 2026Daniel LaoLesion SegmentationColorectal Cancer

  21. GIFT: Global stabilisation via Intrinsic Fine Tuning

    Apr 25, 2026Rory Young, Nicolas PugeaultIterative Reinforcement LearningContinual Fine-Tuning

  22. Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective

    Apr 25, 2026Bishwamittra Ghosh, Soumi Das, Till Speicher +5Large Language Model Fine-TuningIn-Context Learning

  23. Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge

    Apr 24, 2026Mengyu Wang, Xiaoying Zhi, Zhiyi Li +4Large Language Model AdaptationNext-Token Prediction

  24. Where Should LoRA Go? Component-Type Placement in Hybrid Language Models

    Apr 24, 2026Hector Borobia, Elies Seguí-Mas, Guillermina Tormo-CarbóLow-Rank AdaptationRecurrence

  25. Fine-Tuning Regimes Define Distinct Continual Learning Problems

    Apr 23, 2026Paul-Tiberiu Iordache, Elena BurceanuEfficient Continual LearningContinual Fine-Tuning

  26. Low-Rank Adaptation Redux for Large Models

    Apr 23, 2026Bingcong Li, Yilang Zhang, Georgios B. GiannakisLow-Rank AdaptationLarge Models

  27. GiVA: Gradient-Informed Bases for Vector-Based Adaptation

    Apr 23, 2026Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky +4Low-Rank AdaptationParameter-Efficient Fine-Tuning

  28. Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies

    Apr 23, 2026Chris Schneider, Philipp Schoenegger, Ben BariachPersonalizationLow-Rank Adaptation Adapters

  29. Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management

    Apr 23, 2026Yanan Wang, Yong GeArtificial Intelligence ReviewersReview

  30. COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling

    Apr 22, 2026Noah FlynnMultilingual Language ModelsLarge Language Model Adaptation

  31. Compatibility-Aware Dynamic Fine-Tuning for Large Language Models

    Apr 22, 2026Yucheng Zhou, Junwei Sheng, Qianning Wang +1FinetuningToken-Level Uncertainty

  32. Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning

    Apr 22, 2026Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy +2Agentic Reinforcement-Learning FrameworkInstruction

  33. IRIS: Interpolative Rényi Iterative Self-play for Large Language Model Fine-Tuning

    Apr 22, 2026Wenjie Liao, Like Wu, Liangjie Zhao +2Self-PlayUnsupervised On-Policy Self-Distillation

  34. Formalising the Logit Shift Induced by LoRA: A Technical Note

    Apr 22, 2026Xiang Shi, Shuaizhi Cheng, Mingwei LiLow-Rank AdaptationLogit Lens

  35. Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models

    Apr 22, 2026Sachin KumarLarge Language Model AdaptationSmall Language Models

  36. CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation

    Apr 21, 2026Jianzhi Yan, Le Liu, Buzhou Tang +3Large Language Model AdaptationEfficient Latent Reasoning

  37. Can Continual Pre-training Bridge the Performance Gap between General-purpose and Specialized Language Models in the Medical Domain?

    Apr 21, 2026Niclas Doll, Jasper Schulze Buschhoff, Shalaka Satheesh +3Large Language Model AdaptationModel Pretraining

  38. RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

    Apr 21, 2026Yusuf Çelebi, Yağız Asker, Özay Ezerceli +4Low-Rank AdaptationParameter-Efficient Adaptation

  39. Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports

    Apr 21, 2026Yishu Wei, Yi Lin, Adam Flanders +2Radiology Report GenerationDisease Detection

  40. SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning

    Apr 21, 2026Boyan Shi, Wei Chen, Shuyuan Zhao +4Low-Rank AdaptationMulti--Task Learning

  41. Generative Texture Filtering

    Apr 21, 2026Rongjia Zheng, Shangwei Huang, Lei Zhu +2Model PretrainingSupervised Fine-Tuning

  42. FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion

    Apr 21, 2026Tao Fan, Guoqiang Ma, Yuanfeng Song +3Large Language Model AdaptationContext Compression

  43. Gradient-Based Program Synthesis with Neurally Interpreted Languages

    Apr 20, 2026Matthew V. Macfarlane, Clément Bonnet, Herke van Hoof +1Mock-Interface SynthesisLarge Language Model Adaptation

  44. Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraints

    Apr 20, 2026Hao Meng, Siyuan Zheng, Shuran Zhou +2Music GenerationLarge Language Model Alignment

  45. Six Llamas: Comparative Religious Ethics Through LoRA-Adapted Language Models

    Apr 20, 2026Chad Coleman, W. Russell Neuman, Manan Shah +5Moral ReasoningEthics

  46. Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes

    Apr 20, 2026Justin Bauer, Thomas Walshe, Derek Pham +4Large Language Model Fine-TuningReinforcement Learning With Verifiable Reward

  47. TLoRA: Task-aware Low Rank Adaptation of Large Language Models

    Apr 20, 2026Weicheng Lin, Yi Zhang, Jiawei Dang +1Low-Rank AdaptationData-Driven

  48. Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion

    Apr 20, 2026Chen Zhang, Jiuheng Lin, Zhiyuan Liao +1Large Language Model AdaptationLogit Lens

  49. Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference

    Apr 20, 2026Michal PodstawskiGraph Representation LearningLarge Language Model Fine-Tuning

  50. GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation

    Apr 20, 2026Lin Mu, Guoji Wang, Li Ni +4RecommendationLow-Rank Adaptation

  51. Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM

    Apr 20, 2026Sravanth Kodavanti, Sowmya Vajrala, Srinivas Miriyala +13Real-Time InferenceAccelerator

  52. Evolutionary Negative Module Pruning for Better LoRA Merging

    Apr 20, 2026Anda Cao, Zhuo Gou, Yi Wang +5Low-Rank AdaptationHeterogeneous Pruning Scores

  53. SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models

    Apr 20, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuSafety AlignmentLarge Language Model Adaptation

  54. Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models

    Apr 19, 2026Julia Kruk, Sanchita Porwal, Amitrajit Bhattacharjee +1Large Language Model Fine-TuningText Corpora

  55. Evaluating Hallucinations in Domain-Adapted Large Language Models

    Apr 19, 2026Sanchita Porwal, Sai Prasath S, Xingjian Bi +1Large Language Model HallucinationHallucination Rate

  56. R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection

    Apr 19, 2026Raghavendra RamachandraDetection FrameworkBiometrics

  57. REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations

    Apr 19, 2026Sajjad Ghiasvand, Mark Beliaev, Mahnoosh Alizadeh +1Large Language Model Fine-TuningSupervised Fine-Tuning

  58. Guardrails in Logit Space: Safety Token Regularization for LLM Alignment

    Apr 19, 2026Thong Bach, Truyen TranSafety AlignmentLarge Language Model Alignment

  59. D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation

    Apr 18, 2026Junlin Li, Shuangyong Song, Guodong Du +6Large Language Model CompressionQuantization

  60. TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning

    Apr 18, 2026Siyang Li, Yize Chen, Zijie Zhu +4Time Series Foundation ModelsMultivariate Forecasting