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Adversarial Training for Commonsense Inference

Adversarial Training for Commonsense Inference

17 May 2020
L. Pereira
Xiaodong Liu
Fei Cheng
Masayuki Asahara
Ichiro Kobayashi
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Training for Commonsense Inference"

14 / 14 papers shown
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using
  Adversarial Training
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial TrainingAAAI Conference on Artificial Intelligence (AAAI), 2024
Khoi M. Le
Trinh Pham
Tho Quan
Anh Tuan Luu
379
12
0
09 Jan 2024
Temporal Validity Change Prediction
Temporal Validity Change PredictionAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Georg Wenzel
Adam Jatowt
307
1
0
01 Jan 2024
Multi-grained Evidence Inference for Multi-choice Reading Comprehension
Multi-grained Evidence Inference for Multi-choice Reading ComprehensionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Yilin Zhao
Hai Zhao
Sufeng Duan
244
2
0
27 Oct 2023
An Overview Of Temporal Commonsense Reasoning and Acquisition
An Overview Of Temporal Commonsense Reasoning and Acquisition
Georg Wenzel
Adam Jatowt
ReLMLRM
506
13
0
28 Jul 2023
Discourse-Aware Graph Networks for Textual Logical Reasoning
Discourse-Aware Graph Networks for Textual Logical ReasoningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yinya Huang
Lemao Liu
Kun Xu
Meng Fang
Liang Lin
Xi Liang
NAI
297
8
0
04 Jul 2022
OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual
  Idiomaticity Detection
OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity DetectionInternational Workshop on Semantic Evaluation (SemEval), 2022
L. Pereira
Ichiro Kobayashi
201
1
0
07 Jun 2022
elBERto: Self-supervised Commonsense Learning for Question Answering
elBERto: Self-supervised Commonsense Learning for Question AnsweringKnowledge-Based Systems (KBS), 2022
Xunlin Zhan
Yuan Li
Xiao Dong
Xiaodan Liang
Zhiting Hu
Lawrence Carin
SSLRALMLRM
231
10
0
17 Mar 2022
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
336
6
0
31 Aug 2021
Adversarial Training for Machine Reading Comprehension with Virtual
  Embeddings
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
Ziqing Yang
Yiming Cui
Chenglei Si
Wanxiang Che
Ting Liu
Shijin Wang
Guoping Hu
188
9
0
08 Jun 2021
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and
  Robustness for Lexical Complexity Prediction
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity PredictionInternational Workshop on Semantic Evaluation (SemEval), 2021
Y. Taya
L. Pereira
Fei Cheng
Ichiro Kobayashi
322
1
0
12 May 2021
Targeted Adversarial Training for Natural Language Understanding
Targeted Adversarial Training for Natural Language UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
L. Pereira
Xiaodong Liu
Hao Cheng
Hoifung Poon
Jianfeng Gao
Ichiro Kobayashi
201
12
0
12 Apr 2021
ECONET: Effective Continual Pretraining of Language Models for Event
  Temporal Reasoning
ECONET: Effective Continual Pretraining of Language Models for Event Temporal ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Rujun Han
Xiang Ren
Nanyun Peng
360
66
0
30 Dec 2020
Reference Knowledgeable Network for Machine Reading Comprehension
Reference Knowledgeable Network for Machine Reading Comprehension
Yilin Zhao
Zhuosheng Zhang
Hai Zhao
408
6
0
07 Dec 2020
Posterior Differential Regularization with f-divergence for Improving
  Model Robustness
Posterior Differential Regularization with f-divergence for Improving Model RobustnessNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
585
33
0
23 Oct 2020
1
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