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Evaluating natural language processing models with generalization
  metrics that do not need access to any training or testing data

Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data

6 February 2022
Yaoqing Yang
Ryan Theisen
Liam Hodgkinson
Joseph E. Gonzalez
Kannan Ramchandran
Charles H. Martin
Michael W. Mahoney
ArXivPDFHTML

Papers citing "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"

13 / 13 papers shown
Title
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Xinyue Zeng
Haohui Wang
Junhong Lin
Jun Wu
Tyler Cody
Dawei Zhou
34
0
0
01 May 2025
Using Pre-trained LLMs for Multivariate Time Series Forecasting
Using Pre-trained LLMs for Multivariate Time Series Forecasting
Malcolm Wolff
Shenghao Yang
Kari Torkkola
Michael W. Mahoney
AI4TS
AIFin
36
1
0
10 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
66
11
0
31 Dec 2024
Evaluating Loss Landscapes from a Topology Perspective
Evaluating Loss Landscapes from a Topology Perspective
Tiankai Xie
Caleb Geniesse
Jiaqing Chen
Yaoqing Yang
Dmitriy Morozov
Michael W. Mahoney
Ross Maciejewski
Gunther H. Weber
16
0
0
14 Nov 2024
Mitigating Memorization In Language Models
Mitigating Memorization In Language Models
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Nathaniel Hudson
Caleb Geniesse
Kyle Chard
Yaoqing Yang
Ian Foster
Michael W. Mahoney
KELM
MU
38
0
0
03 Oct 2024
Towards Scalable and Versatile Weight Space Learning
Towards Scalable and Versatile Weight Space Learning
Konstantin Schurholt
Michael W. Mahoney
Damian Borth
32
15
0
14 Jun 2024
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Jingxuan Xu
Wuyang Chen
Yao-Min Zhao
Yunchao Wei
VLM
23
2
0
11 Apr 2024
A Three-regime Model of Network Pruning
A Three-regime Model of Network Pruning
Yefan Zhou
Yaoqing Yang
Arin Chang
Michael W. Mahoney
16
10
0
28 May 2023
Greedy Ordering of Layer Weight Matrices in Transformers Improves Translation
Elicia Ye
13
1
0
04 Feb 2023
Spectral Evolution and Invariance in Linear-width Neural Networks
Spectral Evolution and Invariance in Linear-width Neural Networks
Zhichao Wang
A. Engel
Anand D. Sarwate
Ioana Dumitriu
Tony Chiang
24
7
0
11 Nov 2022
Impact of classification difficulty on the weight matrices spectra in
  Deep Learning and application to early-stopping
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping
Xuran Meng
Jianfeng Yao
9
7
0
26 Nov 2021
Post-mortem on a deep learning contest: a Simpson's paradox and the
  complementary roles of scale metrics versus shape metrics
Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics
Charles H. Martin
Michael W. Mahoney
11
16
0
01 Jun 2021
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
111
551
0
27 Feb 2015
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