3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
Fuente:
arXiv
Saved in:
| Main Authors: | Liao, Baohao, Monz, Christof |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Is It a Free Lunch for Removing Outliers during Pretraining?
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026)
by: Liao, Baohao, et al.
Published: (2026)
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
by: Rajaee, Sara, et al.
Published: (2024)
by: Rajaee, Sara, et al.
Published: (2024)
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
by: Han, Pengrui, et al.
Published: (2026)
by: Han, Pengrui, et al.
Published: (2026)
Time Sensitive Knowledge Editing through Efficient Finetuning
by: Ge, Xiou, et al.
Published: (2024)
by: Ge, Xiou, et al.
Published: (2024)
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs
by: Zhang, Yifei, et al.
Published: (2024)
by: Zhang, Yifei, et al.
Published: (2024)
Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods
by: Sabry, Mohammed, et al.
Published: (2024)
by: Sabry, Mohammed, et al.
Published: (2024)
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
by: Troshin, Sergey, et al.
Published: (2025)
by: Troshin, Sergey, 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)
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
by: Bhatt, Gantavya, et al.
Published: (2024)
by: Bhatt, Gantavya, et al.
Published: (2024)
Batched Contextual Reinforcement: A Task-Scaling Law for Efficient Reasoning
by: Yang, Bangji, et al.
Published: (2026)
by: Yang, Bangji, et al.
Published: (2026)
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model
by: Liang, Jing, et al.
Published: (2025)
by: Liang, Jing, et al.
Published: (2025)
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
by: Xu, Zhuoyan, et al.
Published: (2024)
by: Xu, Zhuoyan, et al.
Published: (2024)
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
by: Liu, Weiyang, et al.
Published: (2023)
by: Liu, Weiyang, et al.
Published: (2023)
LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
by: He, Linyang, et al.
Published: (2026)
by: He, Linyang, et al.
Published: (2026)
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
by: Halawi, Danny, et al.
Published: (2024)
by: Halawi, Danny, et al.
Published: (2024)
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
Order Independence With Finetuning
by: Brown, Katrina, et al.
Published: (2025)
by: Brown, Katrina, 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)
Parameter Efficient Fine-tuning via Explained Variance Adaptation
by: Paischer, Fabian, et al.
Published: (2024)
by: Paischer, Fabian, 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)
Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation
by: Glocker, Kevin, et al.
Published: (2025)
by: Glocker, Kevin, et al.
Published: (2025)
Beyond KV Caching: Shared Attention for Efficient LLMs
by: Liao, Bingli, et al.
Published: (2024)
by: Liao, Bingli, et al.
Published: (2024)
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
by: Dhakal, Manish, et al.
Published: (2024)
by: Dhakal, Manish, et al.
Published: (2024)
Learning Dynamics of LLM Finetuning
by: Ren, Yi, et al.
Published: (2024)
by: Ren, Yi, et al.
Published: (2024)
Orthogonal Finetuning for Direct Preference Optimization
by: Yang, Chenxu, et al.
Published: (2024)
by: Yang, Chenxu, et al.
Published: (2024)
Large Language Models to Diffusion Finetuning
by: Cetin, Edoardo, et al.
Published: (2025)
by: Cetin, Edoardo, et al.
Published: (2025)
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation
by: Vasilev, Stefan, et al.
Published: (2025)
by: Vasilev, Stefan, et al.
Published: (2025)
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
by: Nikdan, Mahdi, et al.
Published: (2024)
by: Nikdan, Mahdi, et al.
Published: (2024)
Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
by: Kumar, Sachin
Published: (2026)
by: Kumar, Sachin
Published: (2026)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)
by: Li, Yanan, et al.
Published: (2025)
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
by: Liu, Yilun, et al.
Published: (2025)
by: Liu, Yilun, et al.
Published: (2025)
AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation
by: Du, Weihua, et al.
Published: (2026)
by: Du, Weihua, et al.
Published: (2026)
The Impact of Initialization on LoRA Finetuning Dynamics
by: Hayou, Soufiane, et al.
Published: (2024)
by: Hayou, Soufiane, et al.
Published: (2024)
Similar Items
-
Is It a Free Lunch for Removing Outliers during Pretraining?
by: Liao, Baohao, et al.
Published: (2024) -
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024) -
Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026) -
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025) -
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)