MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures
Fuente:
arXiv
Saved in:
| Main Authors: | Qin, Jiayu, Tan, Jianchao, Zhang, Kefeng, Cai, Xunliang, Wang, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
by: Taniguchi, Rei, et al.
Published: (2026)
by: Taniguchi, Rei, et al.
Published: (2026)
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
C2T: A Classifier-Based Tree Construction Method in Speculative Decoding
by: Huo, Feiye, et al.
Published: (2025)
by: Huo, Feiye, et al.
Published: (2025)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
by: Kurz, Simon, et al.
Published: (2024)
by: Kurz, Simon, et al.
Published: (2024)
Rethinking Layer Redundancy: Calibration Matters More Than Search in LLM Depth Pruning
by: Kim, Minkyu, et al.
Published: (2026)
by: Kim, Minkyu, et al.
Published: (2026)
LLM Pruning and Distillation in Practice: The Minitron Approach
by: Sreenivas, Sharath Turuvekere, et al.
Published: (2024)
by: Sreenivas, Sharath Turuvekere, et al.
Published: (2024)
Earley-Driven Dynamic Pruning for Efficient Structured Decoding
by: Sun, Xintong, et al.
Published: (2025)
by: Sun, Xintong, et al.
Published: (2025)
Sample-aware Adaptive Structured Pruning for Large Language Models
by: Kong, Jun, et al.
Published: (2025)
by: Kong, Jun, et al.
Published: (2025)
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
by: Fang, Gongfan, et al.
Published: (2024)
by: Fang, Gongfan, et al.
Published: (2024)
IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
by: Li, Yixiao, et al.
Published: (2025)
by: Li, Yixiao, et al.
Published: (2025)
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025)
by: Le, Qi, et al.
Published: (2025)
Two-Stage Regularization-Based Structured Pruning for LLMs
by: Feng, Mingkuan, et al.
Published: (2025)
by: Feng, Mingkuan, et al.
Published: (2025)
Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling
by: Monjur, Ocean, et al.
Published: (2026)
by: Monjur, Ocean, et al.
Published: (2026)
Adaptive Pruning for Large Language Models with Structural Importance Awareness
by: Zheng, Haotian, et al.
Published: (2024)
by: Zheng, Haotian, et al.
Published: (2024)
SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale
by: Zimmer, Max, et al.
Published: (2025)
by: Zimmer, Max, et al.
Published: (2025)
Adapt-Pruner: Adaptive Structural Pruning for Efficient Small Language Model Training
by: Pan, Rui, et al.
Published: (2025)
by: Pan, Rui, et al.
Published: (2025)
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
by: Fu, Qichen, et al.
Published: (2024)
by: Fu, Qichen, et al.
Published: (2024)
From Pruning to Grafting: Dynamic Knowledge Redistribution via Learnable Layer Fusion
by: Pei, Zehua, et al.
Published: (2024)
by: Pei, Zehua, et al.
Published: (2024)
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
by: Xie, Jiamin, et al.
Published: (2023)
by: Xie, Jiamin, et al.
Published: (2023)
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Large Language Model Pruning
by: Huang, Hanjuan, et al.
Published: (2024)
by: Huang, Hanjuan, et al.
Published: (2024)
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)
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
by: Sandri, Fabrizio, et al.
Published: (2025)
by: Sandri, Fabrizio, et al.
Published: (2025)
Variational Masked Diffusion Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
PAT: Pruning-Aware Tuning for Large Language Models
by: Liu, Yijiang, et al.
Published: (2024)
by: Liu, Yijiang, et al.
Published: (2024)
Beware of Calibration Data for Pruning Large Language Models
by: Ji, Yixin, et al.
Published: (2024)
by: Ji, Yixin, et al.
Published: (2024)
Adaptive Computation Pruning for the Forgetting Transformer
by: Lin, Zhixuan, et al.
Published: (2025)
by: Lin, Zhixuan, et al.
Published: (2025)
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
by: Zheng, Kaiwen, et al.
Published: (2024)
by: Zheng, Kaiwen, 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)
LeanK: Learnable K Cache Channel Pruning for Efficient Decoding
by: Zhang, Yike, et al.
Published: (2025)
by: Zhang, Yike, et al.
Published: (2025)
Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
by: Sondej, Filip, et al.
Published: (2025)
by: Sondej, Filip, et al.
Published: (2025)
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
by: Wei, Boyi, et al.
Published: (2024)
by: Wei, Boyi, et al.
Published: (2024)
Pruning Foundation Models for High Accuracy without Retraining
by: Zhao, Pu, et al.
Published: (2024)
by: Zhao, Pu, et al.
Published: (2024)
Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling
by: Kesgin, Himmet Toprak, et al.
Published: (2024)
by: Kesgin, Himmet Toprak, et al.
Published: (2024)
MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
by: Zheng, Bo, et al.
Published: (2026)
by: Zheng, Bo, et al.
Published: (2026)
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
by: Federici, Marco, et al.
Published: (2024)
by: Federici, Marco, et al.
Published: (2024)
Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)
by: Vincenti, Jort, et al.
Published: (2024)
Sink-Aware Pruning for Diffusion Language Models
by: Myrzakhan, Aidar, et al.
Published: (2026)
by: Myrzakhan, Aidar, et al.
Published: (2026)
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)
by: Xia, Mengzhou, et al.
Published: (2023)
Similar Items
-
Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
by: Taniguchi, Rei, et al.
Published: (2026) -
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
by: Wang, Ziyan, et al.
Published: (2025) -
C2T: A Classifier-Based Tree Construction Method in Speculative Decoding
by: Huo, Feiye, et al.
Published: (2025) -
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024) -
On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
by: Kurz, Simon, et al.
Published: (2024)