Contextually Guided Transformers via Low-Rank Adaptation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhmoginov, Andrey, Lee, Jihwan, Vladymyrov, Max, Sandler, Mark |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones
by: Zhmoginov, Andrey, et al.
Published: (2025)
by: Zhmoginov, Andrey, et al.
Published: (2025)
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
by: Vladymyrov, Max, et al.
Published: (2023)
by: Vladymyrov, Max, et al.
Published: (2023)
Narrowing the Focus: Learned Optimizers for Pretrained Models
by: Kristiansen, Gus, et al.
Published: (2024)
by: Kristiansen, Gus, et al.
Published: (2024)
Long Context In-Context Compression by Getting to the Gist of Gisting
by: Petrov, Aleksandar, et al.
Published: (2025)
by: Petrov, Aleksandar, et al.
Published: (2025)
Learning and Unlearning of Fabricated Knowledge in Language Models
by: Sun, Chen, et al.
Published: (2024)
by: Sun, Chen, et al.
Published: (2024)
How new data permeates LLM knowledge and how to dilute it
by: Sun, Chen, et al.
Published: (2025)
by: Sun, Chen, et al.
Published: (2025)
Linear Transformers are Versatile In-Context Learners
by: Vladymyrov, Max, et al.
Published: (2024)
by: Vladymyrov, Max, et al.
Published: (2024)
The Expressive Power of Low-Rank Adaptation
by: Zeng, Yuchen, et al.
Published: (2023)
by: Zeng, Yuchen, et al.
Published: (2023)
MAP: Revisiting Weight Decomposition for Low-Rank Adaptation
by: Si, Chongjie, et al.
Published: (2025)
by: Si, Chongjie, et al.
Published: (2025)
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
by: Chen, Haolin, et al.
Published: (2024)
by: Chen, Haolin, et al.
Published: (2024)
CSULoRA: Closest Safe Update Low-Rank Adaptation
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
by: Wang, Shaowen, et al.
Published: (2024)
by: Wang, Shaowen, et al.
Published: (2024)
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning
by: Tang, Chuanyu, et al.
Published: (2024)
by: Tang, Chuanyu, et al.
Published: (2024)
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning
by: Feng, Jinyuan, et al.
Published: (2025)
by: Feng, Jinyuan, et al.
Published: (2025)
Batched Low-Rank Adaptation of Foundation Models
by: Wen, Yeming, et al.
Published: (2023)
by: Wen, Yeming, et al.
Published: (2023)
Variational Low-Rank Adaptation Using IVON
by: Cong, Bai, et al.
Published: (2024)
by: Cong, Bai, et al.
Published: (2024)
Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
by: Wang, Dianyun, et al.
Published: (2025)
by: Wang, Dianyun, et al.
Published: (2025)
Optimizing Fine-Tuning through Advanced Initialization Strategies for Low-Rank Adaptation
by: Xue, Yongfu
Published: (2025)
by: Xue, Yongfu
Published: (2025)
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
by: Sengupta, Ayan, et al.
Published: (2024)
by: Sengupta, Ayan, et al.
Published: (2024)
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
by: Ren, Yunwei, et al.
Published: (2024)
by: Ren, Yunwei, et al.
Published: (2024)
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
by: Bihany, Harsh, et al.
Published: (2025)
by: Bihany, Harsh, et al.
Published: (2025)
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)
by: Bershatsky, Daniel, et al.
Published: (2024)
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
by: Whitehouse, Chenxi, et al.
Published: (2023)
by: Whitehouse, Chenxi, et al.
Published: (2023)
DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Zhang, Haojie
Published: (2025)
by: Zhang, Haojie
Published: (2025)
HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation
by: Chen, Lixian, et al.
Published: (2026)
by: Chen, Lixian, et al.
Published: (2026)
CeRA: Overcoming the Linear Ceiling of Low-Rank Adaptation via Capacity Expansion
by: Chen, Hung-Hsuan
Published: (2026)
by: Chen, Hung-Hsuan
Published: (2026)
GoRA: Gradient-driven Adaptive Low Rank Adaptation
by: He, Haonan, et al.
Published: (2025)
by: He, Haonan, et al.
Published: (2025)
Not How Many, But Which: Parameter Placement in Low-Rank Adaptation
by: Sehanobish, Arijit, et al.
Published: (2026)
by: Sehanobish, Arijit, et al.
Published: (2026)
SBoRA: Low-Rank Adaptation with Regional Weight Updates
by: Po, Lai-Man, et al.
Published: (2024)
by: Po, Lai-Man, et al.
Published: (2024)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
LSR-Adapt: Ultra-Efficient Parameter Tuning with Matrix Low Separation Rank Kernel Adaptation
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
by: Qin, Peijia, et al.
Published: (2024)
by: Qin, Peijia, et al.
Published: (2024)
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM
by: Solgi, Ryan, et al.
Published: (2025)
by: Solgi, Ryan, et al.
Published: (2025)
ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters
by: Yuksel, Kamer Ali, et al.
Published: (2025)
by: Yuksel, Kamer Ali, et al.
Published: (2025)
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
by: Nasiri, Hamid, et al.
Published: (2025)
by: Nasiri, Hamid, et al.
Published: (2025)
SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
by: Zhou, Kaiye, et al.
Published: (2024)
by: Zhou, Kaiye, et al.
Published: (2024)
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning
by: Rajabzadeh, Hossein, et al.
Published: (2024)
by: Rajabzadeh, Hossein, et al.
Published: (2024)
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)
by: Yang, Yaming, et al.
Published: (2024)
Similar Items
-
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones
by: Zhmoginov, Andrey, et al.
Published: (2025) -
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
by: Vladymyrov, Max, et al.
Published: (2023) -
Narrowing the Focus: Learned Optimizers for Pretrained Models
by: Kristiansen, Gus, et al.
Published: (2024) -
Long Context In-Context Compression by Getting to the Gist of Gisting
by: Petrov, Aleksandar, et al.
Published: (2025) -
Learning and Unlearning of Fabricated Knowledge in Language Models
by: Sun, Chen, et al.
Published: (2024)