Papers by Jiwon Jeong
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation (2025.findings-naacl)
Copied to clipboard
| Challenge: | Recent large language models have demonstrated improved processing of complex language, but detecting logical fallacies remains a challenge. |
| Approach: | They propose a prompt formulation approach for logical fallacy detection that integrates contextual information into input text and queries for validity within the argument’s context. |
| Outcome: | The proposed approach improves over state-of-the-art models by 0.57 in F1-scores and 0.45 in fine-tuned models. |