The Efficiency Spectrum of Large Language Models: An Algorithmic Survey

1 December 2023

Tianyi Chen

Papers citing "The Efficiency Spectrum of Large Language Models: An Algorithmic Survey"

44 / 44 papers shown

Title
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs Aidan Ferguson Perry Gibson Lara DÁgata Parker McLeod Ferhat Yaman Amitabh Das Ian Colbert José Cano 70 0 0 12 Mar 2025
KLCBL: An Improved Police Incident Classification Model Liu Zhuoxian Shi Tuo Hu Xiaofeng 34 0 0 11 Nov 2024
Quasi-random Multi-Sample Inference for Large Language Models Aditya Parashar Aditya Vikram Singh Avinash Amballa Jinlin Lai Benjamin Rozonoyer LRM 66 0 0 09 Nov 2024
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 83 1 0 11 Sep 2024
CIKMar: A Dual-Encoder Approach to Prompt-Based Reranking in Educational Dialogue Systems Joanito Agili Lopo Marina Indah Prasasti Alma Permatasari 46 0 0 16 Aug 2024
Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling Cong Xu Gayathri Saranathan Mahammad Parwez Alam Arpit Shah James Lim Soon Yee Wong Foltin Martin Suparna Bhattacharya VLM 54 4 0 21 Jun 2024
PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo Tianjiao Ding Kwan Ho Ryan Chan D. Thaker Aditya Chattopadhyay Chris Callison-Burch René Vidal CVBM 47 7 0 06 Jun 2024
A Survey on Efficient Inference for Large Language Models Zixuan Zhou Xuefei Ning Ke Hong Tianyu Fu Jiaming Xu ... Shengen Yan Guohao Dai Xiao-Ping Zhang Yuhan Dong Yu Wang 75 87 0 22 Apr 2024
LLM Inference Unveiled: Survey and Roofline Model Insights Zhihang Yuan Yuzhang Shang Yang Zhou Zhen Dong Zhe Zhou ... Yong Jae Lee Yan Yan Beidi Chen Guangyu Sun Kurt Keutzer 69 82 0 26 Feb 2024
All Language Models Large and Small Zhixun Chen Yali Du D. Mguni 31 0 0 19 Feb 2024
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks Juyoung Yun 26 1 0 26 Dec 2023
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators Tianyi Chen Tianyu Ding Zhihui Zhu Zeyu Chen HsiangTao Wu Ilya Zharkov Luming Liang 26 3 0 15 Dec 2023
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models Zhihang Yuan Yuzhang Shang Yue Song Qiang Wu Yan Yan Guangyu Sun MQ 50 45 0 10 Dec 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation Gaurav Sahu Olga Vechtomova Dzmitry Bahdanau I. Laradji VLM 68 24 0 22 Oct 2023
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning Haowen Chen Yiming Zhang Qi Zhang Hantao Yang Xiaomeng Hu Xuetao Ma Yifan YangGong Jiaqi Zhao ALM 71 47 0 16 May 2023
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 224 514 0 03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation Jamie Yap Zhengyang Wang Zheng Li K. Lynch Bing Yin Xiang Ren LRM 78 93 0 03 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu Abdul Waheed Chiyu Zhang Muhammad Abdul-Mageed Alham Fikri Aji ALM 137 120 0 27 Apr 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang Hongye Jin Ruixiang Tang Xiaotian Han Qizhang Feng Haoming Jiang Bing Yin Xia Hu LM&MA 139 633 0 26 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 441 3,045 0 22 Mar 2023
Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson Christopher Rytting David Wingate ELM 150 187 0 22 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 80 27 0 20 Sep 2022
Revisiting Neural Scaling Laws in Language and Vision Ibrahim Alabdulmohsin Behnam Neyshabur Xiaohua Zhai 159 103 0 13 Sep 2022
Sparsity-guided Network Design for Frame Interpolation Tian Ding Luming Liang Zhihui Zhu Tianyi Chen Ilya Zharkov 49 6 0 09 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 348 4,169 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 365 3,349 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 454 12,178 0 04 Mar 2022
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework Xingcheng Yao Yanan Zheng Xiaocong Yang Zhilin Yang 37 45 0 07 Nov 2021
Predicting Attention Sparsity in Transformers Marcos Vinícius Treviso António Góis Patrick Fernandes E. Fonseca André F. T. Martins 66 13 0 24 Sep 2021
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation Marzieh S. Tahaei Ella Charlaix V. Nia A. Ghodsi Mehdi Rezagholizadeh 48 22 0 13 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 253 711 0 27 Aug 2021
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 247 603 0 14 Jul 2021
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 184 417 0 18 Jan 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 259 684 0 06 Jan 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 107 345 0 05 Jan 2021
Shortformer: Better Language Modeling using Shorter Inputs Ofir Press Noah A. Smith M. Lewis 233 89 0 31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,935 0 31 Dec 2020
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 145 221 0 31 Dec 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 122 180 0 19 Oct 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 295 2,033 0 28 Jul 2020
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 268 4,576 0 23 Jan 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 303 1,622 0 18 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Mohammad Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 247 1,838 0 17 Sep 2019
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 236 579 0 12 Sep 2019