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Adversarial attacks against Fact Extraction and VERification

Adversarial attacks against Fact Extraction and VERification

13 March 2019
James Thorne
Andreas Vlachos
    FedML
    AAML
ArXivPDFHTML

Papers citing "Adversarial attacks against Fact Extraction and VERification"

13 / 13 papers shown
Title
aiXamine: Simplified LLM Safety and Security
aiXamine: Simplified LLM Safety and Security
Fatih Deniz
Dorde Popovic
Yazan Boshmaf
Euisuh Jeong
M. Ahmad
Sanjay Chawla
Issa M. Khalil
ELM
80
0
0
21 Apr 2025
The State of Human-centered NLP Technology for Fact-checking
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das
Houjiang Liu
Venelin Kovatchev
Matthew Lease
HILM
21
61
0
08 Jan 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical
  Applications with Categorical Inputs
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Helene Orsini
Hongyan Bao
Yujun Zhou
Xiangrui Xu
Yufei Han
Longyang Yi
Wei Wang
Xin Gao
Xiangliang Zhang
AAML
21
1
0
13 Dec 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
49
2,243
0
08 Feb 2022
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLM
ELM
AAML
24
214
0
04 Nov 2021
FaVIQ: FAct Verification from Information-seeking Questions
FaVIQ: FAct Verification from Information-seeking Questions
Jungsoo Park
Sewon Min
Jaewoo Kang
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
32
37
0
05 Jul 2021
Towards Few-Shot Fact-Checking via Perplexity
Towards Few-Shot Fact-Checking via Perplexity
Nayeon Lee
Yejin Bang
Andrea Madotto
Madian Khabsa
Pascale Fung
AAML
13
90
0
17 Mar 2021
Claim Verification using a Multi-GAN based Model
Claim Verification using a Multi-GAN based Model
Amartya Hatua
Arjun Mukherjee
Rakesh M. Verma
SyDa
23
2
0
14 Mar 2021
Towards Evaluating the Robustness of Chinese BERT Classifiers
Towards Evaluating the Robustness of Chinese BERT Classifiers
Wei Ping
Boyuan Pan
Xin Li
Bo-wen Li
AAML
26
8
0
07 Apr 2020
How Decoding Strategies Affect the Verifiability of Generated Text
How Decoding Strategies Affect the Verifiability of Generated Text
Luca Massarelli
Fabio Petroni
Aleksandra Piktus
Myle Ott
Tim Rocktaschel
Vassilis Plachouras
Fabrizio Silvestri
Sebastian Riedel
23
50
0
09 Nov 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
190
576
0
02 May 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
196
711
0
17 Apr 2018
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
207
1,367
0
06 Jun 2016
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