Papers Logical Fallacies
“Logical Fallacies” 태그가 달린 논문 49편 · 필터 해제
Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies
Large Language Models (LLMs) exhibit strong semantic capabilities, yet their resilience to manipulative linguistic patterns such as logical fallacies remains underexplored. Prior work has primarily examined whether LLMs …
Logical FallaciesBeyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
In today's fast-paced information era, logical fallacies, defined as defective patterns of reasoning, inevitably contribute to the growth of information disorder. However, often fallacies appear in nuanced forms that com…
Logical FallaciesTackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
Identifying logical fallacies in everyday discourse is challenging for many people. This challenge is amplified in the era of Large Language Models (LLMs), where malicious agents can deploy fallacious arguments to dissem…
Logical FallaciesLabel Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs
As AI-generated and AI-assisted content floods online spaces, source labels attached to such content can distort human reasoning judgments, with downstream consequences for moderation, evaluation, and decision-making. Wh…
Logical FallaciesMath Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs
To enhance LLMs' impact on math education, we need data on their mathematical prowess and biases across prompts. To fill this gap, we introduce MEDS (Math Education Digital Shadows) as a dataset mapping how large languag…
Logical FallaciesEvian: Towards Explainable Visual Instruction-tuning Data Auditing
The efficacy of Large Vision-Language Models (LVLMs) is critically dependent on the quality of their training data, requiring a precise balance between visual fidelity and instruction-following capability. Existing datas…
Logical FallaciesLLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
Scarce longitudinal evidence examines LLMs' persuasiveness and humanness along time-evolving psychological frameworks. We introduce Talk2AI, a longitudinal framework quantifying psycho-social, reasoning and affective dim…
Logical FallaciesProbing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation
Short-video platforms have become major channels for misinformation, where deceptive claims frequently leverage visual experiments and social cues. While Multimodal Large Language Models (MLLMs) have demonstrated impress…
Logical FallaciesAddressing Logical Fallacies In Scientific Reasoning From Large Language Models: Towards a Dual-Inference Training Framework
Large Language Models (LLMs) have transformed natural language processing and hold growing promise for advancing science, healthcare, and decision-making. Yet their training paradigms remain dominated by affirmation-base…
Logical FallaciesFormal LogicMisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data
Health-related misinformation is very prevalent and potentially harmful. It is difficult to identify, especially when claims distort or misinterpret scientific findings. We investigate the impact of synthetic data genera…
Synthetic Data GenerationLogical FallaciesSymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation
Large Language Models (LLMs) often struggle with complex mathematical reasoning, where prose-based generation leads to unverified and arithmetically unsound solutions. Current prompting strategies like Chain of Thought s…
Mathematical ReasoningLogical FallaciesCode GenerationHallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models
The detection of sophisticated hallucinations in Large Language Models (LLMs) is hampered by a ``Detection Dilemma'': methods probing internal states (Internal State Probing) excel at identifying factual inconsistencies …
Mathematical ReasoningLogical FallaciesFollow My Lead: Logical Fallacy Classification with Knowledge-Augmented LLMs
Large Language Models (LLMs) suffer from critical reasoning gaps, including a tendency to hallucinate and poor accuracy in classifying logical fallacies. This limitation stems from their default System 1 processing, whic…
Logical FallaciesEmotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection
Logical fallacies are common in public communication and can mislead audiences; fallacious arguments may still appear convincing despite lacking soundness, because convincingness is inherently subjective. We present the …
Logical FallaciesCan Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
Large Multimodal Models (LMMs) have witnessed remarkable growth, showcasing formidable capabilities in handling intricate multimodal tasks with exceptional performance. Recent research has underscored the inclination of …
Logical FallaciesLeveraging Context for Multimodal Fallacy Classification in Political Debates
In this paper, we present our submission to the MM-ArgFallacy2025 shared task, which aims to advance research in multimodal argument mining, focusing on logical fallacies in political debates. Our approach uses pretraine…
Argument MiningLogical FallaciesAre Large Language Models Good at Detecting Propaganda?
Propagandists use rhetorical devices that rely on logical fallacies and emotional appeals to advance their agendas. Recognizing these techniques is key to making informed decisions. Recent advances in Natural Language Pr…
ArticlesLogical FallaciesSLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse
In our paper we explore the definition, and extrapolation of fallacies as they pertain to the automatic detection of manipulation on social media. In particular we explore how these logical fallacies might appear in the …
DiversityLogical FallaciesMisinformationSocrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles
Large Language Models (LLMs) have achieved significant progress in language understanding and reasoning. Evaluating and analyzing their logical reasoning abilities has therefore become essential. However, existing datase…
Logical FallaciesLogical ReasoningLarge Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
The advancement of Large Language Models (LLMs) has greatly improved our ability to process complex language. However, accurately detecting logical fallacies remains a significant challenge. This study presents a novel a…
Logical FallaciesLogical Fallacy Detection