Towards Efficient Automatic Self-Pruning of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Weizhong, Zhang, Yuxin, Zheng, Xiawu, Chao, Fei, Ji, Rongrong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
by: Huang, Weizhong, et al.
Published: (2025)
by: Huang, Weizhong, et al.
Published: (2025)
Dynamic Low-Rank Sparse Adaptation for Large Language Models
by: Huang, Weizhong, et al.
Published: (2025)
by: Huang, Weizhong, et al.
Published: (2025)
AffineQuant: Affine Transformation Quantization for Large Language Models
by: Ma, Yuexiao, et al.
Published: (2024)
by: Ma, Yuexiao, et al.
Published: (2024)
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
by: Ma, Qingchuan, et al.
Published: (2026)
by: Ma, Qingchuan, et al.
Published: (2026)
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
by: Zhao, Lirui, et al.
Published: (2023)
by: Zhao, Lirui, et al.
Published: (2023)
Polybasic Speculative Decoding Through a Theoretical Perspective
by: Wang, Ruilin, et al.
Published: (2025)
by: Wang, Ruilin, et al.
Published: (2025)
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation
by: Xie, Jingjing, et al.
Published: (2024)
by: Xie, Jingjing, et al.
Published: (2024)
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs
by: Guo, Song, et al.
Published: (2024)
by: Guo, Song, et al.
Published: (2024)
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
by: Gao, Yuan, et al.
Published: (2024)
by: Gao, Yuan, et al.
Published: (2024)
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
by: Tang, Yuntian, et al.
Published: (2026)
by: Tang, Yuntian, et al.
Published: (2026)
Large Language Model Compression with Global Rank and Sparsity Optimization
by: Zhou, Changhai, et al.
Published: (2025)
by: Zhou, Changhai, et al.
Published: (2025)
SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
by: Zhu, Hourun, et al.
Published: (2025)
by: Zhu, Hourun, et al.
Published: (2025)
Training Long-Context LLMs Efficiently via Chunk-wise Optimization
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Large Language Model Pruning
by: Huang, Hanjuan, et al.
Published: (2024)
by: Huang, Hanjuan, et al.
Published: (2024)
Deterministic Differentiable Structured Pruning for Large Language Models
by: Huang, Weiyu, et al.
Published: (2026)
by: Huang, Weiyu, et al.
Published: (2026)
OMPQ: Orthogonal Mixed Precision Quantization
by: Ma, Yuexiao, et al.
Published: (2021)
by: Ma, Yuexiao, et al.
Published: (2021)
On the Convergence of Moral Self-Correction in Large Language Models
by: Liu, Guangliang, et al.
Published: (2025)
by: Liu, Guangliang, et al.
Published: (2025)
FASP: Fast and Accurate Structured Pruning of Large Language Models
by: Hu, Hanyu, et al.
Published: (2025)
by: Hu, Hanyu, et al.
Published: (2025)
Exploring Federated Pruning for Large Language Models
by: Guo, Pengxin, et al.
Published: (2025)
by: Guo, Pengxin, et al.
Published: (2025)
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
by: Lu, Haiquan, et al.
Published: (2024)
by: Lu, Haiquan, et al.
Published: (2024)
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
by: Luo, Gen, et al.
Published: (2024)
by: Luo, Gen, et al.
Published: (2024)
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
by: Wan, Weilin, et al.
Published: (2025)
by: Wan, Weilin, et al.
Published: (2025)
Prune, Update and Trim: Robust Structured Pruning for Large Language Models
by: Mecke, Diego Coello de Portugal, et al.
Published: (2026)
by: Mecke, Diego Coello de Portugal, et al.
Published: (2026)
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
by: Thangarasa, Vithursan, et al.
Published: (2024)
by: Thangarasa, Vithursan, et al.
Published: (2024)
ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2026)
by: Li, Xu, et al.
Published: (2026)
Beware of Calibration Data for Pruning Large Language Models
by: Ji, Yixin, et al.
Published: (2024)
by: Ji, Yixin, et al.
Published: (2024)
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
by: Xing, Xingrun, et al.
Published: (2025)
by: Xing, Xingrun, et al.
Published: (2025)
Olica: Efficient Structured Pruning of Large Language Models without Retraining
by: He, Jiujun, et al.
Published: (2025)
by: He, Jiujun, et al.
Published: (2025)
Efficient Post-Training Pruning of Large Language Models with Statistical Correction
by: Yu, Peiqi, et al.
Published: (2026)
by: Yu, Peiqi, et al.
Published: (2026)
FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference
by: Jung, Chaeyoung, et al.
Published: (2026)
by: Jung, Chaeyoung, et al.
Published: (2026)
Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
by: Tayaranian, Mohammadreza, et al.
Published: (2024)
by: Tayaranian, Mohammadreza, et al.
Published: (2024)
Symmetric Pruning of Large Language Models
by: Yi, Kai, et al.
Published: (2025)
by: Yi, Kai, et al.
Published: (2025)
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
Adaptive Pruning for Large Language Models with Structural Importance Awareness
by: Zheng, Haotian, et al.
Published: (2024)
by: Zheng, Haotian, et al.
Published: (2024)
EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
by: Zhao, Songlin, et al.
Published: (2025)
by: Zhao, Songlin, et al.
Published: (2025)
SwiftPrune: Hessian-Free Weight Pruning for Large Language Models
by: Kang, Yuhan, et al.
Published: (2025)
by: Kang, Yuhan, et al.
Published: (2025)
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
by: Xu, Peng, et al.
Published: (2024)
by: Xu, Peng, et al.
Published: (2024)
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference
by: Chitty-Venkata, Krishna Teja, et al.
Published: (2025)
by: Chitty-Venkata, Krishna Teja, et al.
Published: (2025)
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
Similar Items
-
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
by: Huang, Weizhong, et al.
Published: (2025) -
Dynamic Low-Rank Sparse Adaptation for Large Language Models
by: Huang, Weizhong, et al.
Published: (2025) -
AffineQuant: Affine Transformation Quantization for Large Language Models
by: Ma, Yuexiao, et al.
Published: (2024) -
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
by: Ma, Qingchuan, et al.
Published: (2026) -
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
by: Zhao, Lirui, et al.
Published: (2023)