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Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

13 October 2021
Xiangyang Liu
Tianxiang Sun
Junliang He
Jiawen Wu
Lingling Wu
Xinyu Zhang
Hao Jiang
Zhao Cao
Xuanjing Huang
Xipeng Qiu
    ELM
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Papers citing "Towards Efficient NLP: A Standard Evaluation and A Strong Baseline"

41 / 41 papers shown
Title
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu
Ziqi Gao
Tingyang Xu
Yang Liu
Yatao Bian
Yu Rong
Junzhou Huang
Jia Li
66
0
0
03 Mar 2025
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
Divya J. Bajpai
M. Hanawal
63
0
0
02 Feb 2025
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
Yarik Menchaca Resendiz
Roman Klinger
64
1
0
17 Dec 2024
Distributed Inference on Mobile Edge and Cloud: An Early Exit based
  Clustering Approach
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach
Divya J. Bajpai
M. Hanawal
FedML
25
0
0
06 Oct 2024
Hyper-multi-step: The Truth Behind Difficult Long-context Tasks
Hyper-multi-step: The Truth Behind Difficult Long-context Tasks
Yijiong Yu
Ma Xiufa
Fang Jianwei
Zhi-liang Xu
Su Guangyao
...
Zhixiao Qi
Wei Wang
W. Liu
Ran Chen
Ji Pei
LRM
RALM
18
0
0
06 Oct 2024
Expanding Expressivity in Transformer Models with MöbiusAttention
Expanding Expressivity in Transformer Models with MöbiusAttention
Anna-Maria Halacheva
M. Nayyeri
Steffen Staab
25
1
0
08 Sep 2024
CEEBERT: Cross-Domain Inference in Early Exit BERT
CEEBERT: Cross-Domain Inference in Early Exit BERT
Divya J. Bajpai
M. Hanawal
LRM
32
4
0
23 May 2024
Multimodal Adaptive Inference for Document Image Classification with
  Anytime Early Exiting
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting
Omar Hamed
Souhail Bakkali
Marie-Francine Moens
Matthew Blaschko
Jordy Van Landeghem
23
1
0
21 May 2024
Zero-shot LLM-guided Counterfactual Generation for Text
Zero-shot LLM-guided Counterfactual Generation for Text
Amrita Bhattacharjee
Raha Moraffah
Joshua Garland
Huan Liu
38
3
0
08 May 2024
LLM Inference Unveiled: Survey and Roofline Model Insights
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
37
79
0
26 Feb 2024
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
Divya J. Bajpai
Aastha Jaiswal
M. Hanawal
13
5
0
19 Jan 2024
IoT in the Era of Generative AI: Vision and Challenges
IoT in the Era of Generative AI: Vision and Challenges
Xin Wang
Zhongwei Wan
Arvin Hekmati
M. Zong
Samiul Alam
Mi Zhang
Bhaskar Krishnamachari
27
15
0
03 Jan 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Zhiqiang Zhang
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
26
76
0
02 Jan 2024
SplitEE: Early Exit in Deep Neural Networks with Split Computing
SplitEE: Early Exit in Deep Neural Networks with Split Computing
Divya J. Bajpai
Vivek K. Trivedi
S. L. Yadav
M. Hanawal
11
5
0
17 Sep 2023
A Survey on Model Compression for Large Language Models
A Survey on Model Compression for Large Language Models
Xunyu Zhu
Jian Li
Yong Liu
Can Ma
Weiping Wang
19
189
0
15 Aug 2023
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Hao Peng
Qingqing Cao
Jesse Dodge
Matthew E. Peters
Jared Fernandez
...
Darrell Plessas
Iz Beltagy
Evan Pete Walsh
Noah A. Smith
Hannaneh Hajishirzi
27
7
0
19 Jul 2023
Generate to Understand for Representation
Generate to Understand for Representation
Changshan Xue
Xiande Zhong
Xiaoqing Liu
VLM
33
0
0
14 Jun 2023
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference
  in Low Resource Settings
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings
Daniel Rotem
Michael Hassid
Jonathan Mamou
Roy Schwartz
17
5
0
04 Jun 2023
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
Ariel Gera
Roni Friedman
Ofir Arviv
Chulaka Gunasekara
Benjamin Sznajder
Noam Slonim
Eyal Shnarch
38
19
0
02 May 2023
Test-Time Adaptation with Perturbation Consistency Learning
Test-Time Adaptation with Perturbation Consistency Learning
Yi Su
Yixin Ji
Juntao Li
Hai Ye
M. Zhang
VLM
22
2
0
25 Apr 2023
Moving Beyond Downstream Task Accuracy for Information Retrieval
  Benchmarking
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Keshav Santhanam
Jon Saad-Falcon
M. Franz
Omar Khattab
Avirup Sil
Radu Florian
Md Arafat Sultan
Salim Roukos
Matei A. Zaharia
Christopher Potts
OffRL
13
10
0
02 Dec 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency
  with Slenderized Multi-exit Language Models
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
Bowen Shen
Zheng Lin
Yuanxin Liu
Zhengxiao Liu
Lei Wang
Weiping Wang
VLM
22
4
0
27 Oct 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Xiangyang Liu
Tianxiang Sun
Xuanjing Huang
Xipeng Qiu
VLM
21
27
0
20 Oct 2022
Challenges in Explanation Quality Evaluation
Challenges in Explanation Quality Evaluation
Hendrik Schuff
Heike Adel
Peng Qi
Ngoc Thang Vu
XAI
22
3
0
13 Oct 2022
Unsupervised Early Exit in DNNs with Multiple Exits
Unsupervised Early Exit in DNNs with Multiple Exits
U. HariNarayanN
M. Hanawal
Avinash Bhardwaj
23
10
0
20 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
Confident Adaptive Language Modeling
Confident Adaptive Language Modeling
Tal Schuster
Adam Fisch
Jai Gupta
Mostafa Dehghani
Dara Bahri
Vinh Q. Tran
Yi Tay
Donald Metzler
43
159
0
14 Jul 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the
  Research Manifold
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
Sebastian Ruder
Ivan Vulić
Anders Søgaard
20
25
0
20 Jun 2022
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models
Wangchunshu Zhou
Yan Zeng
Shizhe Diao
Xinsong Zhang
CoGe
VLM
17
13
0
30 May 2022
MiniDisc: Minimal Distillation Schedule for Language Model Compression
MiniDisc: Minimal Distillation Schedule for Language Model Compression
Chen Zhang
Yang Yang
Qifan Wang
Jiahao Liu
Jingang Wang
Wei Yu Wu
Dawei Song
34
4
0
29 May 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding
  and Generation
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
Tianxiang Sun
Xiangyang Liu
Wei-wei Zhu
Zhichao Geng
Lingling Wu
Yilong He
Yuan Ni
Guotong Xie
Xuanjing Huang
Xipeng Qiu
19
40
0
03 Mar 2022
A Survey on Model Compression and Acceleration for Pretrained Language
  Models
A Survey on Model Compression and Acceleration for Pretrained Language Models
Canwen Xu
Julian McAuley
23
58
0
15 Feb 2022
A Survey on Dynamic Neural Networks for Natural Language Processing
A Survey on Dynamic Neural Networks for Natural Language Processing
Canwen Xu
Julian McAuley
AI4CE
16
28
0
15 Feb 2022
pNLP-Mixer: an Efficient all-MLP Architecture for Language
pNLP-Mixer: an Efficient all-MLP Architecture for Language
Francesco Fusco
Damian Pascual
Peter W. J. Staar
Diego Antognini
21
29
0
09 Feb 2022
Paradigm Shift in Natural Language Processing
Paradigm Shift in Natural Language Processing
Tianxiang Sun
Xiangyang Liu
Xipeng Qiu
Xuanjing Huang
116
82
0
26 Sep 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
243
284
0
02 Feb 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
241
1,444
0
18 Mar 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
221
197
0
07 Feb 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,815
0
17 Sep 2019
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
225
571
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
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