Low-Rank Adaptation

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Period ending 2026-09-21

23 new papers

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Period ending 2026-09-14

8 new papers

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Period ending 2026-09-07

14 new papers

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  1. TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree

    Jun 12, 2025Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang +2Efficient Continual LearningLow-Rank Adaptation

  2. MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning

    Jun 10, 2025Javier Lopez-Piqueres, Pranav Deshpande, Archan Ray +3Parameter-Efficient Fine-TuningParameter-Efficient Adaptation

  3. Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning

    May 22, 2025Thibaud Gloaguen, Mark Vero, Robin Staab +1Language Model Evasion AttacksLarge Language Model Fine-Tuning

  4. RAFP: Identifying LLM Lineages via Rare-Region Fingerprints

    May 19, 2025Yun-Yun Tsai, Jia Hao Liang, Chuan Guo +2FingerprintLarge Language Model Fine-Tuning

  5. Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding

    Mar 20, 2025Bingxuan Li, Jiahao Wu, Yuan Xu +6Monocular Depth EstimationPhotonic Devices

  6. Low-dimensional adaptation of diffusion models: Convergence in total variation

    Jan 22, 2025Jiadong Liang, Zhihan Huang, Yuxin ChenScore-Based Diffusion ModelDenoising Diffusion Probabilistic Model

  7. Tuning Language Models by Mixture-of-Depths Ensemble

    Oct 16, 2024Haoyan Luo, Lucia SpeciaLarge Language Model Fine-TuningTransformer Layers

  8. BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models

    Aug 8, 2024Yupeng Chang, Yi Chang, Yuan WuLow-Rank Adaptation

  9. Decoupled Alignment for Robust Plug-and-Play Adaptation

    Jun 3, 2024Haozheng Luo, Jiahao Yu, Wenxin Zhang +9Large Language Model AlignmentLarge Language Model Adaptation

  10. Learning diverse attacks on large language models for robust red-teaming and safety tuning

    May 28, 2024Seanie Lee, Minsu Kim, Lynn Cherif +8Language Model Evasion AttacksRed-Teaming

  11. Amortizing intractable inference in large language models

    Oct 6, 2023Edward J. Hu, Moksh Jain, Eric Elmoznino +4Large Language Model Fine-TuningLarge Language Model Reasoning

  12. SPECTRA: Band-Routed Embedding and Stage-Wise LoRA for Cross-Sensor Fine-Tuning of Geospatial Foundation Models

    Date pendingXingyan Li, Jordan A. Caraballo-Vega, Jie Gong +2Geospatial Foundation ModelsCross-Sensor Generalization

  13. Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu

    Date pendingToneema Zubair, Muhammad Junaid Asif, Faisal Kamiran +2Hate SpeechLow-Resource Languages

  14. ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning

    Date pendingXianming Li, Zongxi Li, Tsz-fung Andrew Lee +3Parameter-Efficient Fine-Tuning

  15. Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs

    Date pendingXingwei Gan, Ying ZhuGroup Relative Policy OptimizationReinforcement Learning Post-Training

  16. Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning

    Date pendingPeng Du, Kiran Kamble, Rakshith Vasudev +5Supervised Fine-TuningAgentic Tool Use

  17. Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective

    Date pendingErfan LoghmaniLarge Language Model Fine-TuningLarge Language Model Performance

  18. Diffract: Spectral View of LLM Domain Adaptation

    Date pendingNikita Borodin, Maria Krylova, Artem Zabolotnyi +6Large Language Model AdaptationModel Pretraining