Papers by Abhinav Lalwani
Logical Fallacy Detection (2022.findings-emnlp)
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Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schoelkopf
| Challenge: | Existing language models perform poorly on logical fallacy detection . fallacious arguments can lead to disagreements, conflicts, endless debates, and a lack of consensus . |
| Approach: | They propose a task of logical fallacy detection and propose LogicClimate to detect fallacies in text. |
| Outcome: | The proposed task outperforms the best language model on Logic and LogicClimate . human reasoning is marred by logical fallacies, and some exacerbate misinformation . |