The Unreasonable Ineffectiveness of the Deeper Layers

26 March 2024

Papers citing "The Unreasonable Ineffectiveness of the Deeper Layers"

21 / 21 papers shown

Title
Faster MoE LLM Inference for Extremely Large Models Haoqi Yang Luohe Shi Qiwei Li Zuchao Li Ping Wang Bo Du Mengjia Shen Hai Zhao MoE 59 0 0 06 May 2025
ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations Dmitriy Shopkhoev Ammar Ali Magauiya Zhussip Valentin Malykh Stamatios Lefkimmiatis N. Komodakis Sergey Zagoruyko VLM 34 0 0 05 May 2025
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models Chuan Sun Han Yu Lizhen Cui Xiaoxiao Li 28 0 0 03 May 2025
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Miguel Nogales Matteo Gambella Manuel Roveri 56 0 0 29 Apr 2025
Efficient LLMs with AMP: Attention Heads and MLP Pruning Leandro Giusti Mugnaini Bruno Yamamoto Lucas Lauton de Alcantara Victor Zacarias Edson Bollis Lucas Pellicer A. H. R. Costa Artur Jordao 37 0 0 29 Apr 2025
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections Da Xiao Qingye Meng Shengping Li Xingyuan Yuan MoE AI4CE 54 0 0 13 Feb 2025
How Redundant Is the Transformer Stack in Speech Representation Models? Teresa Dorszewski Albert Kjøller Jacobsen Lenka Tětková Lars Kai Hansen 104 0 0 20 Jan 2025
CURing Large Models: Compression via CUR Decomposition Sanghyeon Park Soo-Mook Moon 38 0 0 08 Jan 2025
An Analysis Framework for Understanding Deep Neural Networks Based on Network Dynamics Yuchen Lin Yong Zhang Sihan Feng Hong Zhao 26 0 0 05 Jan 2025
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs Akhiad Bercovich Tomer Ronen Talor Abramovich Nir Ailon Nave Assaf ... Ido Shahaf Oren Tropp Omer Ullman Argov Ran Zilberstein Ran El-Yaniv 75 1 0 28 Nov 2024
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training Elia Cunegatti Leonardo Lucio Custode Giovanni Iacca 36 0 0 11 Nov 2024
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities Zhaofeng Wu Xinyan Velocity Yu Dani Yogatama Jiasen Lu Yoon Kim AIFin 41 10 0 07 Nov 2024
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 41 2 0 23 Oct 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers Shwai He Tao Ge Guoheng Sun Bowei Tian Xiaoyang Wang Ang Li MoE 43 1 0 17 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models Vithursan Thangarasa Ganesh Venkatesh Mike Lasby Nish Sinnadurai Sean Lie SyDa 33 0 0 13 Oct 2024
Compact Language Models via Pruning and Knowledge Distillation Saurav Muralidharan Sharath Turuvekere Sreenivas Raviraj Joshi Marcin Chochowski M. Patwary M. Shoeybi Bryan Catanzaro Jan Kautz Pavlo Molchanov SyDa MQ 27 36 0 19 Jul 2024
Emergence of a High-Dimensional Abstraction Phase in Language Transformers Emily Cheng Diego Doimo Corentin Kervadec Iuri Macocco Jade Yu A. Laio Marco Baroni 104 11 0 24 May 2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns Saleh Ashkboos Maximilian L. Croci Marcelo Gennari do Nascimento Torsten Hoefler James Hensman VLM 122 143 0 26 Jan 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 201 498 0 03 May 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language Models Mor Geva Jasmijn Bastings Katja Filippova Amir Globerson KELM 189 260 0 28 Apr 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020