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On the Robustness of Language Encoders against Grammatical Errors

On the Robustness of Language Encoders against Grammatical Errors

12 May 2020
Fan Yin
Quanyu Long
Tao Meng
Kai-Wei Chang
ArXiv (abs)PDFHTML

Papers citing "On the Robustness of Language Encoders against Grammatical Errors"

17 / 17 papers shown
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
Arti Rani
Shweta Singh
Nihar Ranjan Sahoo
Gaurav Kumar Nayak
212
0
0
28 Sep 2025
We're Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text
We're Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text
Aarohi Srivastava
David Chiang
485
4
0
10 Apr 2024
SenTest: Evaluating Robustness of Sentence Encoders
SenTest: Evaluating Robustness of Sentence Encoders
Tanmay Chavan
Shantanu Patankar
Aditya Kane
Omkar Gokhale
Geetanjali Kale
Raviraj Joshi
248
1
0
29 Nov 2023
Red Teaming Language Model Detectors with Language Models
Red Teaming Language Model Detectors with Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2023
Zhouxing Shi
Yihan Wang
Fan Yin
Xiangning Chen
Kai-Wei Chang
Cho-Jui Hsieh
DeLMO
342
68
0
31 May 2023
RuCoLA: Russian Corpus of Linguistic Acceptability
RuCoLA: Russian Corpus of Linguistic AcceptabilityConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Vladislav Mikhailov
T. Shamardina
Max Ryabinin
A. Pestova
I. Smurov
Ekaterina Artemova
396
36
0
23 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
319
4
0
22 Oct 2022
Discovering Differences in the Representation of People using
  Contextualized Semantic Axes
Discovering Differences in the Representation of People using Contextualized Semantic AxesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
L. Lucy
Divya Tadimeti
David Bamman
290
15
0
21 Oct 2022
On the Paradox of Learning to Reason from Data
On the Paradox of Learning to Reason from DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Honghua Zhang
Liunian Harold Li
Tao Meng
Kai-Wei Chang
Karen Ullrich
NAIReLMOODLRM
478
137
0
23 May 2022
Acceptability Judgements via Examining the Topology of Attention Maps
Acceptability Judgements via Examining the Topology of Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. Cherniavskii
Eduard Tulchinskii
Vladislav Mikhailov
Irina Proskurina
Laida Kushnareva
Ekaterina Artemova
S. Barannikov
Irina Piontkovskaya
D. Piontkovski
Evgeny Burnaev
1.1K
26
0
19 May 2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Threats to Pre-trained Language Models: Survey and Taxonomy
Shangwei Guo
Chunlong Xie
Jiwei Li
Lingjuan Lyu
Tianwei Zhang
PILM
223
36
0
14 Feb 2022
Variation and generality in encoding of syntactic anomaly information in
  sentence embeddings
Variation and generality in encoding of syntactic anomaly information in sentence embeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2021
Qinxuan Wu
Allyson Ettinger
289
2
0
12 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language
  Evaluation
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
David Alfonso-Hermelo
Ahmad Rashid
Abbas Ghaddar
Huawei Noah’s
Mehdi Rezagholizadeh
389
2
0
09 Nov 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language
  Navigation
Adversarial Reinforced Instruction Attacker for Robust Vision-Language NavigationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Bingqian Lin
Yi Zhu
Yanxin Long
Xiaodan Liang
QiXiang Ye
Liang Lin
AAML
227
24
0
23 Jul 2021
Contrastive Fine-tuning Improves Robustness for Neural Rankers
Contrastive Fine-tuning Improves Robustness for Neural RankersFindings (Findings), 2021
Xiaofei Ma
Cicero Nogueira dos Santos
Andrew O. Arnold
320
24
0
27 May 2021
On the Adversarial Robustness of Vision Transformers
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
499
182
0
29 Mar 2021
Better Robustness by More Coverage: Adversarial Training with Mixup
  Augmentation for Robust Fine-tuning
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningFindings (Findings), 2020
Chenglei Si
Zhengyan Zhang
Fanchao Qi
Zhiyuan Liu
Yasheng Wang
Qun Liu
Maosong Sun
AAMLSILM
344
77
0
31 Dec 2020
Word Shape Matters: Robust Machine Translation with Visual Embedding
Word Shape Matters: Robust Machine Translation with Visual Embedding
Haohan Wang
Peiyan Zhang
Eric Xing
407
15
0
20 Oct 2020
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