Prune Once for All: Sparse Pre-Trained Language Models

10 November 2021

Papers citing "Prune Once for All: Sparse Pre-Trained Language Models"

50 / 59 papers shown

Title
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need? Waleed Reda Abhinav Jangda Krishna Chintalapudi 118 0 0 23 May 2025
FineScope : Precision Pruning for Domain-Specialized Large Language Models Using SAE-Guided Self-Data Cultivation Chaitali Bhattacharyya Yeseong Kim 121 0 0 01 May 2025
Systematic Weight Evaluation for Pruning Large Language Models: Enhancing Performance and Sustainability Ashhadul Islam S. Belhaouari Amine Bermak 95 0 0 24 Feb 2025
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic Yifei He Yuzheng Hu Yong Lin Tong Zhang Han Zhao FedML MoMe 129 25 0 08 Jan 2025
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior Mingxuan Zhang Y. Sun F. Liang 120 0 0 01 Nov 2024
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 144 0 0 01 Nov 2024
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers Zebin Yang Renze Chen Taiqiang Wu Ngai Wong Yun Liang Runsheng Wang R. Huang Meng Li MQ 87 1 0 23 Oct 2024
Application Specific Compression of Deep Learning Models Rohit Raj Rai Angana Borah Amit Awekar 53 0 0 09 Sep 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin Shangqian Gao James Seale Smith Abhishek Patel Shikhar Tuli Yilin Shen Hongxia Jin Yen-Chang Hsu 168 13 0 19 Aug 2024
Evaluating Zero-Shot Long-Context LLM Compression Chenyu Wang Yihan Wang Kai Li 124 0 0 10 Jun 2024
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning Oshin Dutta Ritvik Gupta Sumeet Agarwal 93 2 0 07 Jun 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts Mohammed Nowaz Rabbani Chowdhury Meng Wang Kaoutar El Maghraoui Naigang Wang Pin-Yu Chen Christopher Carothers MoE 116 4 0 26 May 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models R. Sukthanker Arber Zela B. Staffler Aaron Klein Lennart Purucker Jorg K. H. Franke Frank Hutter ELM 103 4 0 16 May 2024
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models Je-Yong Lee Donghyun Lee Genghan Zhang Mo Tiwari Azalia Mirhoseini 73 21 0 12 Apr 2024
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning Matteo Farina Massimiliano Mancini Elia Cunegatti Gaowen Liu Giovanni Iacca Elisa Ricci VLM 81 2 0 08 Apr 2024
Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output Channel Pruning on Computer Vision Tasks Guanhua Ding Zexi Ye Zhen Zhong Gang Li David Shao 61 0 0 29 Mar 2024
SEVEN: Pruning Transformer Model by Reserving Sentinels Jinying Xiao Ping Li Jie Nie Zhe Tang 74 3 0 19 Mar 2024
ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference Hyungjun Oh Kihong Kim Jaemin Kim Sungkyun Kim Junyeol Lee Du-Seong Chang Jiwon Seo 91 36 0 15 Mar 2024
Unveiling Linguistic Regions in Large Language Models Zhihao Zhang Jun Zhao Qi Zhang Tao Gui Xuanjing Huang 104 13 0 22 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A Survey Wenxiao Wang Wei Chen Yicong Luo Yongliu Long Zhengkai Lin Liye Zhang Binbin Lin Deng Cai Xiaofei He MQ 116 58 0 15 Feb 2024
How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark Eldar Kurtic Torsten Hoefler Dan Alistarh 72 3 0 21 Dec 2023
Fluctuation-based Adaptive Structured Pruning for Large Language Models Yongqi An Xu Zhao Tao Yu Ming Tang Jinqiao Wang 114 61 0 19 Dec 2023
Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup Maolin Wang Yao-Min Zhao Jiajia Liu Jingdong Chen Chenyi Zhuang Jinjie Gu Ruocheng Guo Xiangyu Zhao 51 6 0 10 Dec 2023
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective Can Jin Tianjin Huang Yihua Zhang Mykola Pechenizkiy Sijia Liu Shiwei Liu Tianlong Chen VLM 152 26 0 03 Dec 2023
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency Azhar Shaikh Michael Cochez Denis Diachkov Michiel de Rijcke Sahar Yousefi 79 0 0 09 Nov 2023
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models Hang Shao Bei Liu Bo Xiao Ke Zeng Guanglu Wan Yanmin Qian 100 22 0 14 Oct 2023
Compressing LLMs: The Truth is Rarely Pure and Never Simple Ajay Jaiswal Zhe Gan Xianzhi Du Bowen Zhang Zhangyang Wang Yinfei Yang MQ 130 50 0 02 Oct 2023
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy Pingzhi Li Zhenyu Zhang Prateek Yadav Yi-Lin Sung Yu Cheng Mohit Bansal Tianlong Chen MoMe 85 39 0 02 Oct 2023
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs Lu Yin Ajay Jaiswal Shiwei Liu Souvik Kundu Zhangyang Wang 86 7 0 29 Sep 2023
Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping Boyu Chen Hanxuan Chen Jiao He Fengyu Sun Shangling Jui 89 3 0 15 Aug 2023
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization Denis Kuznedelev Eldar Kurtic Eugenia Iofinova Elias Frantar Alexandra Peste Dan Alistarh VLM 108 13 0 03 Aug 2023
A Survey of Techniques for Optimizing Transformer Inference Krishna Teja Chitty-Venkata Sparsh Mittal M. Emani V. Vishwanath Arun Somani 129 75 0 16 Jul 2023
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models Phuoc-Hoan Charles Le Xinlin Li ViT MQ 87 21 0 29 Jun 2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs Haihao Shen Hengyu Meng Bo Dong Zhe Wang Ofir Zafrir ... Hanwen Chang Qun Gao Zi. Wang Guy Boudoukh Moshe Wasserblat MoE 66 4 0 28 Jun 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter Ajay Jaiswal Shiwei Liu Tianlong Chen Zhangyang Wang VLM 77 34 0 06 Jun 2023
LLM-Pruner: On the Structural Pruning of Large Language Models Xinyin Ma Gongfan Fang Xinchao Wang 178 446 0 19 May 2023
PDP: Parameter-free Differentiable Pruning is All You Need Minsik Cho Saurabh N. Adya Devang Naik VLM 67 12 0 18 May 2023
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency Daniel Fernando Campos Chengxiang Zhai 128 2 0 05 Apr 2023
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval Daniel Fernando Campos ChengXiang Zhai 57 0 0 31 Mar 2023
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes Daniel Fernando Campos Alexandre Marques Mark Kurtz Chengxiang Zhai VLM AAML 52 2 0 30 Mar 2023
Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression Denis Kuznedelev Soroush Tabesh Kimia Noorbakhsh Elias Frantar Sara Beery Eldar Kurtic Dan Alistarh MQ VLM 79 2 0 25 Mar 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding Yimeng Zhang Xin Chen Jinghan Jia Sijia Liu Ke Ding 96 27 0 09 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu Tianlong Chen Zhenyu Zhang Xuxi Chen Tianjin Huang Ajay Jaiswal Zhangyang Wang 87 28 0 03 Mar 2023
Rotation Invariant Quantization for Model Compression Dor-Joseph Kampeas Yury Nahshan Hanoch Kremer Gil Lederman Shira Zaloshinski Zheng Li E. Haleva MQ 119 1 0 03 Mar 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models Vishvak Murahari Ameet Deshpande Carlos E. Jimenez Izhak Shafran Mingqiu Wang Yuan Cao Karthik Narasimhan MoE 63 5 0 24 Feb 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers Chen Liang Haoming Jiang Zheng Li Xianfeng Tang Bin Yin Tuo Zhao VLM 134 25 0 19 Feb 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks Mahdi Nikdan Tommaso Pegolotti Eugenia Iofinova Eldar Kurtic Dan Alistarh 84 11 0 09 Feb 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 88 34 0 07 Feb 2023
AttMEMO : Accelerating Transformers with Memoization on Big Memory Systems Yuan Feng Hyeran Jeon F. Blagojevic Cyril Guyot Qing Li Dong Li GNN 67 3 0 23 Jan 2023
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off Shaoyi Huang Bowen Lei Dongkuan Xu Hongwu Peng Yue Sun Mimi Xie Caiwen Ding 109 19 0 30 Nov 2022