ERC-SVD: Error-Controlled SVD for Large Language Model Compression
Fuente:
arXiv
Saved in:
| Main Authors: | Bai, Haolei, Jian, Siyong, Liang, Tuo, Yin, Yu, Wang, Huan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization
by: Xiong, Boya, et al.
Published: (2025)
by: Xiong, Boya, et al.
Published: (2025)
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
by: Li, Zhiteng, et al.
Published: (2025)
by: Li, Zhiteng, et al.
Published: (2025)
SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression
by: Hu, Xing, et al.
Published: (2026)
by: Hu, Xing, et al.
Published: (2026)
DipSVD: Dual-importance Protected SVD for Efficient LLM Compression
by: Ding, Xuan, et al.
Published: (2025)
by: Ding, Xuan, et al.
Published: (2025)
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)
A Survey on Model Compression for Large Language Models
by: Zhu, Xunyu, et al.
Published: (2023)
by: Zhu, Xunyu, et al.
Published: (2023)
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)
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
by: Wang, Weilan, et al.
Published: (2025)
by: Wang, Weilan, et al.
Published: (2025)
Cross-Lingual Consistency: A Novel Inference Framework for Advancing Reasoning in Large Language Models
by: Yu, Zhiwei, et al.
Published: (2025)
by: Yu, Zhiwei, et al.
Published: (2025)
SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models
by: Hong, Chengjie, et al.
Published: (2026)
by: Hong, Chengjie, et al.
Published: (2026)
Swift-SVD: Theoretical Optimality Meets Practical Efficiency in Low-Rank LLM Compression
by: Qi, Ruoling, et al.
Published: (2026)
by: Qi, Ruoling, et al.
Published: (2026)
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)
by: Mao, Yu, et al.
Published: (2024)
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
by: Xie, Jinxiang, et al.
Published: (2024)
by: Xie, Jinxiang, et al.
Published: (2024)
FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
by: Liu, Chao, et al.
Published: (2025)
by: Liu, Chao, et al.
Published: (2025)
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
by: Chekalina, Viktoriia, et al.
Published: (2025)
by: Chekalina, Viktoriia, 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)
IoT-LLM: a framework for enhancing Large Language Model reasoning from real-world sensor data
by: An, Tuo, et al.
Published: (2024)
by: An, Tuo, et al.
Published: (2024)
ErrorMap and ErrorAtlas: Charting the Failure Landscape of Large Language Models
by: Ashury-Tahan, Shir, et al.
Published: (2026)
by: Ashury-Tahan, Shir, et al.
Published: (2026)
R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning
by: Shan, Hongyu, et al.
Published: (2025)
by: Shan, Hongyu, et al.
Published: (2025)
Legal Evalutions and Challenges of Large Language Models
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
RNR: Teaching Large Language Models to Follow Roles and Rules
by: Wang, Kuan, et al.
Published: (2024)
by: Wang, Kuan, 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)
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
by: Zhang, Qianchi, et al.
Published: (2024)
by: Zhang, Qianchi, et al.
Published: (2024)
Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)
by: Zhang, Mingyuan, et al.
Published: (2025)
Post-Training Probability Manifold Correction via Structured SVD Pruning and Self-Referential Distillation
by: Flouro, Aaron R., et al.
Published: (2026)
by: Flouro, Aaron R., et al.
Published: (2026)
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)
by: Sun, Cong, et al.
Published: (2025)
Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models
by: Yu, Yongcan, et al.
Published: (2025)
by: Yu, Yongcan, et al.
Published: (2025)
Contextual Reinforcement in Multimodal Token Compression for Large Language Models
by: Piero, Naderdel, et al.
Published: (2025)
by: Piero, Naderdel, et al.
Published: (2025)
Aggressive Post-Training Compression on Extremely Large Language Models
by: Zhang, Zining, et al.
Published: (2024)
by: Zhang, Zining, et al.
Published: (2024)
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
by: Yang, Ge, et al.
Published: (2024)
by: Yang, Ge, et al.
Published: (2024)
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
by: Zeng, Jiayi, et al.
Published: (2025)
by: Zeng, Jiayi, et al.
Published: (2025)
Language Models as Semantic Augmenters for Sequential Recommenders
by: Valizadeh, Mahsa, et al.
Published: (2025)
by: Valizadeh, Mahsa, et al.
Published: (2025)
Large Language Models are Contrastive Reasoners
by: Yao, Liang
Published: (2024)
by: Yao, Liang
Published: (2024)
Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models
by: Xu, Zihao, et al.
Published: (2026)
by: Xu, Zihao, et al.
Published: (2026)
Neural Probe-Based Hallucination Detection for Large Language Models
by: Liang, Shize, et al.
Published: (2025)
by: Liang, Shize, et al.
Published: (2025)
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
by: Zhang, Yeqin, et al.
Published: (2025)
by: Zhang, Yeqin, et al.
Published: (2025)
Evaluating Large Language Models for Generalization and Robustness via Data Compression
by: Li, Yucheng, et al.
Published: (2024)
by: Li, Yucheng, et al.
Published: (2024)
Similar Items
-
Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization
by: Xiong, Boya, et al.
Published: (2025) -
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
by: Li, Zhiteng, et al.
Published: (2025) -
SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression
by: Hu, Xing, et al.
Published: (2026) -
DipSVD: Dual-importance Protected SVD for Efficient LLM Compression
by: Ding, Xuan, et al.
Published: (2025) -
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
by: Wang, Xin, et al.
Published: (2024)