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MELTing point: Mobile Evaluation of Language Transformers

MELTing point: Mobile Evaluation of Language Transformers

19 March 2024
Stefanos Laskaridis
Kleomenis Katevas
Lorenzo Minto
Hamed Haddadi
ArXivPDFHTML

Papers citing "MELTing point: Mobile Evaluation of Language Transformers"

17 / 17 papers shown
Title
Benchmarking Ultra-Low-Power $μ$NPUs
Benchmarking Ultra-Low-Power μμμNPUs
Josh Millar
Yushan Huang
Sarab Sethi
Hamed Haddadi
Anil Madhavapeddy
BDL
53
0
0
28 Mar 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
73
3
0
14 Feb 2025
PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms
PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms
Yilong Li
Jingyu Liu
Hao Zhang
M Badri Narayanan
Utkarsh Sharma
Shuai Zhang
Pan Hu
Yijing Zeng
Jayaram Raghuram
Suman Banerjee
MQ
33
2
0
10 Jan 2025
Lightweight Neural App Control
Lightweight Neural App Control
Filippos Christianos
Georgios Papoudakis
Thomas Coste
Jianye Hao
Jun Wang
Kun Shao
LM&Ro
44
4
0
23 Oct 2024
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
Omkar Thawakar
Ashmal Vayani
Salman Khan
Hisham Cholakal
Rao M. Anwer
M. Felsberg
Timothy Baldwin
Eric P. Xing
Fahad Shahbaz Khan
46
31
0
26 Feb 2024
A Survey of Resource-efficient LLM and Multimodal Foundation Models
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Mengwei Xu
Wangsong Yin
Dongqi Cai
Rongjie Yi
Daliang Xu
...
Shangguang Wang
Yuanchun Li
Yunxin Liu
Xin Jin
Xuanzhe Liu
VLM
67
70
0
16 Jan 2024
LLM in a flash: Efficient Large Language Model Inference with Limited
  Memory
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh-Vahid
Iman Mirzadeh
Dmitry Belenko
Karen Khatamifard
Minsik Cho
C. C. D. Mundo
Mohammad Rastegari
Mehrdad Farajtabar
70
104
0
12 Dec 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
24
4
0
28 Aug 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
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
203
2,232
0
22 Mar 2023
FlexGen: High-Throughput Generative Inference of Large Language Models
  with a Single GPU
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng
Lianmin Zheng
Binhang Yuan
Zhuohan Li
Max Ryabinin
...
Joseph E. Gonzalez
Percy Liang
Christopher Ré
Ion Stoica
Ce Zhang
144
365
0
13 Mar 2023
The Future of Consumer Edge-AI Computing
The Future of Consumer Edge-AI Computing
Stefanos Laskaridis
Stylianos I. Venieris
Alexandros Kouris
Rui Li
Nicholas D. Lane
26
8
0
19 Oct 2022
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural
  Networks on Edge NPUs
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs
Alexandros Kouris
Stylianos I. Venieris
Stefanos Laskaridis
Nicholas D. Lane
30
8
0
27 Sep 2022
Transkimmer: Transformer Learns to Layer-wise Skim
Transkimmer: Transformer Learns to Layer-wise Skim
Yue Guan
Zhengyi Li
Jingwen Leng
Zhouhan Lin
Minyi Guo
54
38
0
15 May 2022
Training language models to follow instructions with human feedback
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
301
11,730
0
04 Mar 2022
Smart at what cost? Characterising Mobile Deep Neural Networks in the
  wild
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
L. Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
93
44
0
28 Sep 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
626
0
21 Apr 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
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
217
571
0
12 Sep 2019
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