Papers by Minjing Shi
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation (2026.acl-long)
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| Challenge: | Existing systems that detect logical fallacies in public discourse do not help people recognize them independently. |
| Approach: | They propose an intelligent tutoring system which uses large language models to help humans learn about logical fallacies. |
| Outcome: | The proposed system outperforms baseline LLMs lacking such pedagogical strategies. |
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators (2024.acl-long)
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| Challenge: | generative AI is a counter-measure to misinformation, but factual claim detection suffers from inconsistency in definitions and high cost of manual annotation. |
| Approach: | They propose a framework that assists in the annotation of factual claims with the help of large language models. |
| Outcome: | The proposed framework can be used to annotate factual claims with the help of large language models and can work with or without expert supervision. |