Papers by Zongrui Li
Are LLMs Good Zero-Shot Fallacy Classifiers? (2024.emnlp-main)
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| Challenge: | Existing fallacy classifiers lack sufficient labeled data for training, limiting their out-of-distribution (OOD) generalization abilities. |
| Approach: | They propose to use Large Language Models (LLMs) for zero-shot fallacy classification. |
| Outcome: | The proposed schemes outperform existing classifiers in OOD inference scenarios and opendomain tasks. |