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Multitask Instruction-based Prompting for Fallacy Recognition

Multitask Instruction-based Prompting for Fallacy Recognition

24 January 2023
Tariq Alhindi
Tuhin Chakrabarty
Elena Musi
Smaranda Muresan
    LRM
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Papers citing "Multitask Instruction-based Prompting for Fallacy Recognition"

27 / 27 papers shown
Title
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
Jiwon Jeong
Hyeju Jang
Hogun Park
ReLM
LRM
53
0
0
30 Mar 2025
An Explainable Framework for Misinformation Identification via Critical Question Answering
An Explainable Framework for Misinformation Identification via Critical Question Answering
Ramon Ruiz-Dolz
John Lawrence
46
0
0
18 Mar 2025
Fine-grained Fallacy Detection with Human Label Variation
Fine-grained Fallacy Detection with Human Label Variation
Alan Ramponi
Agnese Daffara
Sara Tonelli
58
1
0
20 Feb 2025
Are LLMs Good Zero-Shot Fallacy Classifiers?
Are LLMs Good Zero-Shot Fallacy Classifiers?
Fengjun Pan
Xiaobao Wu
Zongrui Li
Anh Tuan Luu
LRM
48
10
0
19 Oct 2024
Critical Questions Generation: Motivation and Challenges
Critical Questions Generation: Motivation and Challenges
Blanca Calvo Figueras
Rodrigo Agerri
24
2
0
18 Oct 2024
Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
Yuanyuan Lei
Ruihong Huang
23
1
0
15 Oct 2024
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies
  Written by LLM-Assisted Crowds
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds
Min-Hsuan Yeh
Ruyuan Wan
Ting-Hao 'Kenneth' Huang
23
1
0
04 Oct 2024
A Few Hypocrites: Few-Shot Learning and Subtype Definitions for
  Detecting Hypocrisy Accusations in Online Climate Change Debates
A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates
Paulina Garcia Corral
Avishai Green
Hendrik Meyer
Anke Stoll
Xiaoyue Yan
Myrthe Reuver
31
0
0
25 Sep 2024
Constrained Multi-Layer Contrastive Learning for Implicit Discourse
  Relationship Recognition
Constrained Multi-Layer Contrastive Learning for Implicit Discourse Relationship Recognition
Yiheng Wu
Junhui Li
Muhua Zhu
19
0
0
07 Sep 2024
Generative Debunking of Climate Misinformation
Generative Debunking of Climate Misinformation
Francisco Zanartu
Yulia Otmakhova
John Cook
Lea Frermann
HILM
MU
48
1
0
08 Jul 2024
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments
  Through Templates and Slot-filling
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling
Irfan Robbani
Paul Reisert
Naoya Inoue
Surawat Pothong
Camélia Guerraoui
Wenzhi Wang
Shoichi Naito
Jungmin Choi
Kentaro Inui
24
0
0
18 Jun 2024
Missci: Reconstructing Fallacies in Misrepresented Science
Missci: Reconstructing Fallacies in Misrepresented Science
Max Glockner
Yufang Hou
Preslav Nakov
Iryna Gurevych
40
4
0
05 Jun 2024
Investigating Persuasion Techniques in Arabic: An Empirical Study
  Leveraging Large Language Models
Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models
Abdurahmman Alzahrani
Eyad Babkier
Faisal Yanbaawi
Firas Yanbaawi
Hassan Alhuzali
54
0
0
21 May 2024
Detecting Fallacies in Climate Misinformation: A Technocognitive
  Approach to Identifying Misleading Argumentation
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation
Francisco Zanartu
John Cook
Markus Wagner
Julian Garcia
36
2
0
14 May 2024
Augmented CARDS: A machine learning approach to identifying triggers of
  climate change misinformation on Twitter
Augmented CARDS: A machine learning approach to identifying triggers of climate change misinformation on Twitter
Cristian Rojas
Frank Algra-Maschio
M. Andrejevic
T. Coan
John Cook
Yuan-Fang Li
22
3
0
24 Apr 2024
CASA: Causality-driven Argument Sufficiency Assessment
CASA: Causality-driven Argument Sufficiency Assessment
Xiao Liu
Yansong Feng
Kai-Wei Chang
32
0
0
10 Jan 2024
Large Language Models for Propaganda Span Annotation
Large Language Models for Propaganda Span Annotation
Maram Hasanain
Fatema Ahmed
Firoj Alam
32
19
0
16 Nov 2023
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and
  Classification
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
Chadi Helwe
Tom Calamai
Pierre-Henri Paris
Chloé Clavel
Fabian M. Suchanek
23
1
0
16 Nov 2023
Large Language Models are Few-Shot Training Example Generators: A Case
  Study in Fallacy Recognition
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
Tariq Alhindi
Smaranda Muresan
Preslav Nakov
HILM
LRM
40
4
0
16 Nov 2023
Discourse Structures Guided Fine-grained Propaganda Identification
Discourse Structures Guided Fine-grained Propaganda Identification
Yuanyuan Lei
Ruihong Huang
39
4
0
28 Oct 2023
Can Large Language Models Infer Causation from Correlation?
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin
Jiarui Liu
Zhiheng Lyu
Spencer Poff
Mrinmaya Sachan
Rada Mihalcea
Mona T. Diab
Bernhard Schölkopf
LRM
37
116
0
09 Jun 2023
Modeling Appropriate Language in Argumentation
Modeling Appropriate Language in Argumentation
Timon Ziegenbein
S. Syed
Felix Lange
Martin Potthast
Henning Wachsmuth
18
4
0
24 May 2023
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case
  Study of COVID-19 Treatments
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments
Ethan Mendes
Yang Chen
Wei Xu
Alan Ritter
21
14
0
19 Dec 2022
Logical Fallacy Detection
Logical Fallacy Detection
Zhijing Jin
Abhinav Lalwani
Tejas Vaidhya
Xiaoyu Shen
Yiwen Ding
Zhiheng Lyu
Mrinmaya Sachan
Rada Mihalcea
Bernhard Schölkopf
LRM
49
34
0
28 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
218
1,663
0
15 Oct 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,927
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,591
0
21 Jan 2020
1