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Logical Fallacies
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Are Large Language Models Good at Detecting Propaganda?
SLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse
Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
RuozhiBench: Evaluating LLMs with Logical Fallacies and Misleading Premises
A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models
Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds
Grounding Fallacies Misrepresenting Scientific Publications in Evidence
A Logical Fallacy-Informed Framework for Argument Generation
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling
Can a Hallucinating Model help in Reducing Human "Hallucination"?
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
Evaluation of an LLM in Identifying Logical Fallacies: A Call for Rigor When Adopting LLMs in HCI Research
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning
Human Conditional Reasoning in Answer Set Programming
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
How susceptible are LLMs to Logical Fallacies?
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
Logical Fallacy Detection
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
A robot's sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say
Unveiling the link between logical fallacies and web persuasion
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