ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yuan, Zhihang, Shang, Yuzhang, Song, Yue, Yang, Dawei, Wu, Qiang, Yan, Yan, Sun, Guangyu |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
by: Zhou, Sifan, et al.
Published: (2025)
by: Zhou, Sifan, et al.
Published: (2025)
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
by: Kang, Weitai, et al.
Published: (2024)
by: Kang, Weitai, et al.
Published: (2024)
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
by: Li, Zhiteng, et al.
Published: (2025)
by: Li, Zhiteng, et al.
Published: (2025)
NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium
by: Song, Dinghong, et al.
Published: (2025)
by: Song, Dinghong, et al.
Published: (2025)
LLM Inference Unveiled: Survey and Roofline Model Insights
by: Yuan, Zhihang, et al.
Published: (2024)
by: Yuan, Zhihang, et al.
Published: (2024)
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More
by: Yue, Yuxuan, et al.
Published: (2024)
by: Yue, Yuxuan, et al.
Published: (2024)
Optimizing Singular Spectrum for Large Language Model Compression
by: Li, Dengjie, et al.
Published: (2025)
by: Li, Dengjie, et al.
Published: (2025)
Structure-aware Domain Knowledge Injection for Large Language Models
by: Liu, Kai, et al.
Published: (2024)
by: Liu, Kai, et al.
Published: (2024)
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
by: Bao, Wenrui, et al.
Published: (2025)
by: Bao, Wenrui, et al.
Published: (2025)
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
by: Lin, Ji, et al.
Published: (2023)
by: Lin, Ji, et al.
Published: (2023)
DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models
by: Jiang, Yuxuan, et al.
Published: (2025)
by: Jiang, Yuxuan, et al.
Published: (2025)
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
by: Shang, Yuzhang, et al.
Published: (2024)
by: Shang, Yuzhang, et al.
Published: (2024)
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
by: Wang, Haoxuan, et al.
Published: (2024)
by: Wang, Haoxuan, et al.
Published: (2024)
Frustratingly Easy Task-aware Pruning for Large Language Models
by: Tian, Yuanhe, et al.
Published: (2025)
by: Tian, Yuanhe, et al.
Published: (2025)
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
by: Hu, Xing, et al.
Published: (2024)
by: Hu, Xing, et al.
Published: (2024)
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
by: Xu, Zukang, et al.
Published: (2025)
by: Xu, Zukang, et al.
Published: (2025)
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models
by: Duanmu, Haojie, et al.
Published: (2024)
by: Duanmu, Haojie, et al.
Published: (2024)
Measuring Spiritual Values and Bias of Large Language Models
by: Liu, Songyuan, et al.
Published: (2024)
by: Liu, Songyuan, et al.
Published: (2024)
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
by: Huang, Xinhao, et al.
Published: (2026)
by: Huang, Xinhao, et al.
Published: (2026)
MiniDisc: Minimal Distillation Schedule for Language Model Compression
by: Zhang, Chen, et al.
Published: (2022)
by: Zhang, Chen, et al.
Published: (2022)
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values
by: Sun, Chengwei, et al.
Published: (2024)
by: Sun, Chengwei, et al.
Published: (2024)
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
by: He, Junlin, et al.
Published: (2026)
by: He, Junlin, et al.
Published: (2026)
Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
by: Li, Jingxuan, et al.
Published: (2024)
by: Li, Jingxuan, et al.
Published: (2024)
Dual Decomposition of Weights and Singular Value Low Rank Adaptation
by: Han, Jialong, et al.
Published: (2025)
by: Han, Jialong, et al.
Published: (2025)
Data-free Weight Compress and Denoise for Large Language Models
by: Peng, Runyu, et al.
Published: (2024)
by: Peng, Runyu, et al.
Published: (2024)
The Real, the Better: Aligning Large Language Models with Online Human Behaviors
by: Jiang, Guanying, et al.
Published: (2024)
by: Jiang, Guanying, et al.
Published: (2024)
The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents
by: Chen, Chen, et al.
Published: (2026)
by: Chen, Chen, et al.
Published: (2026)
DLLMQuant: Quantizing Diffusion-based Large Language Models
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
by: Liu, Chengwu, et al.
Published: (2025)
by: Liu, Chengwu, et al.
Published: (2025)
Measuring Maximum Activations in Open Large Language Models
by: Chen, Luxuan, et al.
Published: (2026)
by: Chen, Luxuan, et al.
Published: (2026)
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
by: Lin, Junyan, et al.
Published: (2024)
by: Lin, Junyan, et al.
Published: (2024)
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
Progressive Document-level Text Simplification via Large Language Models
by: Fang, Dengzhao, et al.
Published: (2025)
by: Fang, Dengzhao, et al.
Published: (2025)
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
by: Sun, Hongda, et al.
Published: (2024)
by: Sun, Hongda, et al.
Published: (2024)
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
by: Zhu, Junda, et al.
Published: (2025)
by: Zhu, Junda, et al.
Published: (2025)
Towards the Law of Capacity Gap in Distilling Language Models
by: Zhang, Chen, et al.
Published: (2023)
by: Zhang, Chen, et al.
Published: (2023)
Similar Items
-
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
by: Wang, Xin, et al.
Published: (2024) -
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
by: Zhou, Sifan, et al.
Published: (2025) -
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
by: Cao, Yang, et al.
Published: (2024) -
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
by: Kang, Weitai, et al.
Published: (2024) -
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
by: Li, Zhiteng, et al.
Published: (2025)