CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Weiyu, Hu, Yuezhou, Zhu, Jun, Chen, Jianfei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
by: Huang, Weiyu, et al.
Published: (2024)
by: Huang, Weiyu, 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)
Accelerating Transformer Pre-training with 2:4 Sparsity
by: Hu, Yuezhou, et al.
Published: (2024)
by: Hu, Yuezhou, et al.
Published: (2024)
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
by: Guo, Zhiyu, et al.
Published: (2024)
by: Guo, Zhiyu, et al.
Published: (2024)
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
by: Fang, Gongfan, et al.
Published: (2024)
by: Fang, Gongfan, et al.
Published: (2024)
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
by: Hu, Yuezhou, et al.
Published: (2024)
by: Hu, Yuezhou, et al.
Published: (2024)
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
A Survey on Training-free Alignment of Large Language Models
by: Pan, Birong, et al.
Published: (2025)
by: Pan, Birong, et al.
Published: (2025)
Learn To be Efficient: Build Structured Sparsity in Large Language Models
by: Zheng, Haizhong, et al.
Published: (2024)
by: Zheng, Haizhong, et al.
Published: (2024)
ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs
by: Liu, Hongyi, et al.
Published: (2025)
by: Liu, Hongyi, et al.
Published: (2025)
Additive Large Language Models for Semi-Structured Text
by: K, Karthikeyan, et al.
Published: (2025)
by: K, Karthikeyan, et al.
Published: (2025)
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs
by: Li, Kaiwei, et al.
Published: (2016)
by: Li, Kaiwei, et al.
Published: (2016)
LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models
by: Su, Yupeng, et al.
Published: (2024)
by: Su, Yupeng, et al.
Published: (2024)
ActTail: Global Activation Sparsity in Large Language Models
by: Hou, Wenwen, et al.
Published: (2026)
by: Hou, Wenwen, et al.
Published: (2026)
SODA: Semi On-Policy Black-Box Distillation for Large Language Models
by: Chen, Xiwen, et al.
Published: (2026)
by: Chen, Xiwen, et al.
Published: (2026)
LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models
by: Xi, Haocheng, et al.
Published: (2026)
by: Xi, Haocheng, et al.
Published: (2026)
Differentially Private Steering for Large Language Model Alignment
by: Goel, Anmol, et al.
Published: (2025)
by: Goel, Anmol, et al.
Published: (2025)
ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models
by: Li, Chen, et al.
Published: (2026)
by: Li, Chen, et al.
Published: (2026)
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
Learnable Permutation for Structured Sparsity on Transformer Models
by: Li, Zekai, et al.
Published: (2026)
by: Li, Zekai, et al.
Published: (2026)
Identifying Sensitive Weights via Post-quantization Integral
by: Hu, Yuezhou, et al.
Published: (2025)
by: Hu, Yuezhou, et al.
Published: (2025)
Attention-Based Sampler for Diffusion Language Models
by: Zhou, Yuyan, et al.
Published: (2026)
by: Zhou, Yuyan, et al.
Published: (2026)
Large Language Models Lack Temporal Awareness of Medical Knowledge
by: Guan, Zihan, et al.
Published: (2026)
by: Guan, Zihan, et al.
Published: (2026)
Large Language Diffusion Models
by: Nie, Shen, et al.
Published: (2025)
by: Nie, Shen, et al.
Published: (2025)
Cascade-Aware Training of Language Models
by: Wang, Congchao, et al.
Published: (2024)
by: Wang, Congchao, et al.
Published: (2024)
Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
by: Tang, Jiaming, et al.
Published: (2024)
by: Tang, Jiaming, et al.
Published: (2024)
Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis
by: Li, Kunrong, et al.
Published: (2025)
by: Li, Kunrong, et al.
Published: (2025)
Harnessing Large Language Models for Disaster Management: A Survey
by: Lei, Zhenyu, et al.
Published: (2025)
by: Lei, Zhenyu, et al.
Published: (2025)
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
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)
Relative Kinetic Utility for Reasoning-Aware Structural Pruning in Large Language Models
by: Qian, Tianhao
Published: (2026)
by: Qian, Tianhao
Published: (2026)
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
by: Xu, Zukang, et al.
Published: (2025)
by: Xu, Zukang, et al.
Published: (2025)
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
by: Akhauri, Yash, et al.
Published: (2024)
by: Akhauri, Yash, et al.
Published: (2024)
Learning Dynamics in Continual Pre-Training for Large Language Models
by: Wang, Xingjin, et al.
Published: (2025)
by: Wang, Xingjin, et al.
Published: (2025)
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
by: Luo, Yuqi, et al.
Published: (2024)
by: Luo, Yuqi, et al.
Published: (2024)
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
by: Li, Yun, et al.
Published: (2023)
by: Li, Yun, et al.
Published: (2023)
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
by: Nakamura, Taishi, et al.
Published: (2025)
by: Nakamura, Taishi, et al.
Published: (2025)
Linear Dynamics in the RLVR Training of Large Language Models
by: Wang, Tianle, et al.
Published: (2026)
by: Wang, Tianle, et al.
Published: (2026)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)
by: Liu, Haochen, et al.
Published: (2025)
Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models
by: Hong, Yinrong, et al.
Published: (2025)
by: Hong, Yinrong, et al.
Published: (2025)
Similar Items
-
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
by: Huang, Weiyu, et al.
Published: (2024) -
Deterministic Differentiable Structured Pruning for Large Language Models
by: Huang, Weiyu, et al.
Published: (2026) -
Accelerating Transformer Pre-training with 2:4 Sparsity
by: Hu, Yuezhou, et al.
Published: (2024) -
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
by: Guo, Zhiyu, et al.
Published: (2024) -
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
by: Fang, Gongfan, et al.
Published: (2024)