Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lu, Yuheng, Qian, Bingshuo, Yuan, Caixia, Jiang, Huixing, Wang, Xiaojie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning
by: Lu, Yuheng, et al.
Published: (2025)
by: Lu, Yuheng, et al.
Published: (2025)
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)
by: Xiao, Xiaojun, et al.
Published: (2024)
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
by: Samplawski, Colin, et al.
Published: (2025)
by: Samplawski, Colin, et al.
Published: (2025)
Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024)
by: Wei, Chenxing, 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)
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
LoRTA: Low Rank Tensor Adaptation of Large Language Models
by: Hounie, Ignacio, et al.
Published: (2024)
by: Hounie, Ignacio, et al.
Published: (2024)
Regularizing Subspace Redundancy of Low-Rank Adaptation
by: Zhu, Yue, et al.
Published: (2025)
by: Zhu, Yue, et al.
Published: (2025)
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
by: Lin, Weicheng, et al.
Published: (2026)
by: Lin, Weicheng, et al.
Published: (2026)
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
by: Wang, Yibin, et al.
Published: (2024)
by: Wang, Yibin, et al.
Published: (2024)
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
by: Shi, Haizhou, et al.
Published: (2024)
by: Shi, Haizhou, et al.
Published: (2024)
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents
by: Sun, Haochen, et al.
Published: (2025)
by: Sun, Haochen, et al.
Published: (2025)
Fine-Tuning is Subgraph Search: A New Lens on Learning Dynamics
by: Li, Yueyan, et al.
Published: (2025)
by: Li, Yueyan, et al.
Published: (2025)
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
by: Liu, Zehua, et al.
Published: (2025)
by: Liu, Zehua, et al.
Published: (2025)
SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping
by: Lu, Yu-Chen, et al.
Published: (2025)
by: Lu, Yu-Chen, et al.
Published: (2025)
Learning Dynamics in Continual Pre-Training for Large Language Models
by: Wang, Xingjin, et al.
Published: (2025)
by: Wang, Xingjin, et al.
Published: (2025)
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
by: Song, Yurun, et al.
Published: (2024)
by: Song, Yurun, et al.
Published: (2024)
Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach
by: Carrión, Salvador, et al.
Published: (2025)
by: Carrión, Salvador, et al.
Published: (2025)
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
by: Benedek, Nadav, et al.
Published: (2024)
by: Benedek, Nadav, et al.
Published: (2024)
Emergent Abilities of Large Language Models under Continued Pretraining for Language Adaptation
by: Elhady, Ahmed, et al.
Published: (2025)
by: Elhady, Ahmed, et al.
Published: (2025)
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
by: Liu, Zeyu, et al.
Published: (2024)
by: Liu, Zeyu, et al.
Published: (2024)
Batched Low-Rank Adaptation of Foundation Models
by: Wen, Yeming, et al.
Published: (2023)
by: Wen, Yeming, et al.
Published: (2023)
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
by: Lin, Tianwei, et al.
Published: (2024)
by: Lin, Tianwei, et al.
Published: (2024)
Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)
by: Pang, Wei, et al.
Published: (2024)
GoRA: Gradient-driven Adaptive Low Rank Adaptation
by: He, Haonan, et al.
Published: (2025)
by: He, Haonan, et al.
Published: (2025)
Continual-learning for Modelling Low-Resource Languages from Large Language Models
by: K, Santosh Srinath, et al.
Published: (2026)
by: K, Santosh Srinath, et al.
Published: (2026)
Less is More: Resource-Efficient Low-Rank Adaptation
by: Tian, Chunlin, et al.
Published: (2025)
by: Tian, Chunlin, et al.
Published: (2025)
Enhancing Low-Rank Adaptation with Structured Nonlinear Transformations
by: Deng, Guanzhi, et al.
Published: (2025)
by: Deng, Guanzhi, et al.
Published: (2025)
The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
by: Wang, Zheng, et al.
Published: (2026)
by: Wang, Zheng, et al.
Published: (2026)
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
by: Zhou, Andy
Published: (2025)
by: Zhou, Andy
Published: (2025)
SBoRA: Low-Rank Adaptation with Regional Weight Updates
by: Po, Lai-Man, et al.
Published: (2024)
by: Po, Lai-Man, et al.
Published: (2024)
Penrose Tiled Low-Rank Compression and Section-Wise Q&A Fine-Tuning: A General Framework for Domain-Specific Large Language Model Adaptation
by: Kuo, Chuan-Wei, et al.
Published: (2025)
by: Kuo, Chuan-Wei, et al.
Published: (2025)
LoLCATs: On Low-Rank Linearizing of Large Language Models
by: Zhang, Michael, et al.
Published: (2024)
by: Zhang, Michael, 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)
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
by: Jayasuriya, Dinithi, et al.
Published: (2025)
by: Jayasuriya, Dinithi, et al.
Published: (2025)
Data Management For Training Large Language Models: A Survey
by: Wang, Zige, et al.
Published: (2023)
by: Wang, Zige, et al.
Published: (2023)
Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)
by: Li, Hanqi, et al.
Published: (2024)
Similar Items
-
Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning
by: Lu, Yuheng, et al.
Published: (2025) -
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024) -
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
by: Samplawski, Colin, et al.
Published: (2025) -
Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024) -
Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
by: Wang, Dianyun, et al.
Published: (2025)