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Fact Checking with Insufficient Evidence

Fact Checking with Insufficient Evidence

5 April 2022
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
ArXivPDFHTML

Papers citing "Fact Checking with Insufficient Evidence"

13 / 13 papers shown
Title
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Greta Warren
Irina Shklovski
Isabelle Augenstein
OffRL
70
4
0
13 Feb 2025
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Roi Cohen
Konstantin Dobler
Eden Biran
Gerard de Melo
83
3
0
09 Dec 2024
Explainable Claim Verification via Knowledge-Grounded Reasoning with
  Large Language Models
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
Haoran Wang
Kai Shu
LRM
43
22
0
08 Oct 2023
Investigating Zero- and Few-shot Generalization in Fact Verification
Investigating Zero- and Few-shot Generalization in Fact Verification
Liangming Pan
Yunxiang Zhang
Min-Yen Kan
13
6
0
18 Sep 2023
LM vs LM: Detecting Factual Errors via Cross Examination
LM vs LM: Detecting Factual Errors via Cross Examination
Roi Cohen
May Hamri
Mor Geva
Amir Globerson
HILM
32
117
0
22 May 2023
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Sagnik Ray Choudhury
Anna Rogers
Isabelle Augenstein
LRM
19
17
0
15 Sep 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism
  and Hate Speech Detection
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Indira Sen
Mattia Samory
Claudia Wagner
Isabelle Augenstein
24
16
0
09 May 2022
A Survey on Stance Detection for Mis- and Disinformation Identification
A Survey on Stance Detection for Mis- and Disinformation Identification
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
109
132
0
27 Feb 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
87
90
0
25 Feb 2021
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for
  Natural Language Understanding
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu
Dinghan Shen
Yelong Shen
Sandra Sajeev
Jiawei Han
Weizhu Chen
132
66
0
16 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 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
190
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
201
1,367
0
06 Jun 2016
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