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Measure and Improve Robustness in NLP Models: A Survey

Measure and Improve Robustness in NLP Models: A Survey

15 December 2021
Xuezhi Wang
Haohan Wang
Diyi Yang
ArXivPDFHTML

Papers citing "Measure and Improve Robustness in NLP Models: A Survey"

23 / 23 papers shown
Title
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
Tongshuang Wu
Haiyi Zhu
Maya Albayrak
Alexis Axon
Amanda Bertsch
...
Ying-Jui Tseng
Patricia Vaidos
Zhijin Wu
Wei Yu Wu
Chenyang Yang
50
27
0
10 Jan 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta
Pranshu Pandya
Tushar Kataria
Vivek Gupta
Dan Roth
AAML
40
1
0
03 Jan 2025
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
34
0
0
13 Mar 2024
Robustness Analysis of Video-Language Models Against Visual and Language
  Perturbations
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Y. S. Rawat
Vibhav Vineet
VLM
98
17
0
05 Jul 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
147
86
0
06 Dec 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
104
14
0
05 Nov 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
103
52
0
14 Oct 2021
Tailor: Generating and Perturbing Text with Semantic Controls
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
107
77
0
15 Jul 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
127
136
0
13 Jan 2021
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
126
494
0
28 Dec 2020
Learning to Recognize Dialect Features
Learning to Recognize Dialect Features
Dorottya Demszky
D. Sharma
J. Clark
Vinodkumar Prabhakaran
Jacob Eisenstein
81
38
0
23 Oct 2020
Word Shape Matters: Robust Machine Translation with Visual Embedding
Word Shape Matters: Robust Machine Translation with Visual Embedding
Haohan Wang
Peiyan Zhang
Eric P. Xing
110
13
0
20 Oct 2020
It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan
Shafiq R. Joty
Min-Yen Kan
R. Socher
138
103
0
09 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
128
326
0
09 May 2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching
  Constraints
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
Zhenyi Wang
Xiaoyang Wang
Bang An
Dong Yu
Changyou Chen
LMTD
143
77
0
03 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
202
176
0
03 May 2020
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
161
273
0
03 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
228
306
0
21 Aug 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
548
0
02 May 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
228
863
0
21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
173
708
0
17 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
4,940
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
8,157
0
06 Jun 2015
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