Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification

Name: Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
Uploaded: 2026-09-04T05:20:12.722207+00:00
Duration: 353 s
Description: The episode discusses 'Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification,' a paper by Eleni Papadopulos et al. The hosts explore how this data-driven method uses Large Language Models (LLMs) to extract flexible patterns, allowing AI to classify fallacies with greater nuance and robustness than traditional fixed templates.

The episode discusses 'Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification,' a paper by Eleni Papadopulos et al. The hosts explore how this data-driven method uses Large Language Models (LLMs) to extract flexible patterns, allowing AI to classify fallacies with greater nuance and robustness than traditional fixed templates.

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