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2112.08313
Cited By
Measure and Improve Robustness in NLP Models: A Survey
15 December 2021
Xuezhi Wang
Haohan Wang
Diyi Yang
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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
Tongshuang Wu
Haiyi Zhu
Maya Albayrak
Alexis Axon
Amanda Bertsch
...
Ying-Jui Tseng
Patricia Vaidos
Zhijin Wu
Wei Yu Wu
Chenyang Yang
48
27
0
10 Jan 2025
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
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
32
0
0
13 Mar 2024
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
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
142
86
0
06 Dec 2021
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
100
14
0
05 Nov 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
101
52
0
14 Oct 2021
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
105
77
0
15 Jul 2021
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
122
127
0
13 Jan 2021
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
124
494
0
28 Dec 2020
Learning to Recognize Dialect Features
Dorottya Demszky
D. Sharma
J. Clark
Vinodkumar Prabhakaran
Jacob Eisenstein
78
38
0
23 Oct 2020
Word Shape Matters: Robust Machine Translation with Visual Embedding
Haohan Wang
Peiyan Zhang
Eric P. Xing
108
13
0
20 Oct 2020
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
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
126
326
0
09 May 2020
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?
Tal Linzen
202
176
0
03 May 2020
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
Mor Geva
Yoav Goldberg
Jonathan Berant
225
306
0
21 Aug 2019
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
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
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
171
708
0
17 Apr 2018
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
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
8,157
0
06 Jun 2015
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